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GenAI is reshaping how businesses extract value from data, and expertise in this niche is in high demand. Companies are racing to embed large‑language models into products, creating a surge of senior‑level opportunities. This role offers a chance to lead cutting‑edge AI projects on‑site in Minneapolis, working with top‑tier cloud and ML tools. # Job Summary The Senior GenAI Developer will design, build, and deploy generative AI solutions using Python and modern ML frameworks. Responsibilities include integrating LLMs (GPT, Claude, Llama) with micro‑service architectures, managing data pipelines on SQL Server, Snowflake, or SingleStore, and orchestrating workloads across Azure, AWS, and Kubernetes environments. The role demands strong consultative communication to translate business needs into scalable AI products. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|--------------| | Generative AI (LLMs, Prompt Engineering) | Core of product functionality; drives innovation and differentiates solutions | Senior | | Python + ML Frameworks (TensorFlow, PyTorch, LangChain, Hugging Face) | Primary development language and ecosystem for model training and inference | Senior | | Cloud & Container Orchestration (Azure/AWS, Kubernetes, Docker) | Enables scalable deployment and reliable micro‑service integration | Senior | # Interview Preparation 1. **Explain how you would fine‑tune a GPT‑style model for a domain‑specific chatbot.** *What the interviewer is looking for:* Understanding of data preprocessing, transfer learning, evaluation metrics, and deployment pipelines. 2. **Describe the differences between LangChain and Hugging Face Transformers and when you would choose each.** *What the interviewer is looking for:* Knowledge of framework strengths, abstraction levels, and integration patterns. 3. **How do you design a micro‑service that serves an LLM inference request while ensuring low latency?** *What the interviewer is looking for:* Experience with containerization, async processing, caching, and scaling strategies. 4. **Walk through your approach to securing data in Snowflake when training sensitive NLP models.** *What the interviewer is looking for:* Familiarity with encryption, role‑based access, and compliance best practices. 5. **What monitoring and logging tools would you implement for an AI service running on Kubernetes?** *What the interviewer is looking for:* Practical use of ELK stack, Prometheus/Grafana, and alerting mechanisms. # Resume Optimization - Generative AI - Python - LangChain - TensorFlow - PyTorch - Hugging Face Transformers - Azure - AWS - Kubernetes - Snowflake # Application Strategy When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your up‑to‑date resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as **Generative AI**, **Python with ML frameworks**, and **cloud orchestration (Azure/AWS, Kubernetes)**. Reference specific projects where you built or deployed LLM‑powered services, and align your experience with the key responsibilities listed in the job description. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|-------------------|------------|---------------| | Senior GenAI Developer | 5‑7 years in AI/ML, cloud, and micro‑services | End‑to‑end AI product delivery, team mentorship | Lead AI Engineer | | Lead AI Engineer | 8‑10 years, cross‑functional leadership | Architecture strategy, large‑scale AI initiatives | AI Engineering Manager | | AI Engineering Manager | 10+ years, people & portfolio management | Organizational AI roadmap, budget & stakeholder alignment | Director of AI Innovation |

Data architecture is at the heart of modern analytics, and enterprises are racing to modernize legacy pipelines. Mastery of IBM Cloud Pak for Data and related tooling makes this role a rare chance to shape a state‑wide data platform. If you thrive on translating business needs into scalable, high‑quality data solutions, this opportunity in Lansing is worth your attention. # Job Summary The Data Warehouse Architect 3 – ETL will lead the design, migration, and governance of Michigan’s enterprise data assets using IBM Cloud Pak for Data, Knowledge Catalog, and Manta. You’ll define architecture standards, ensure data quality and lifecycle management, and collaborate with cross‑functional teams to deliver robust, scalable solutions. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|--------------| | IBM Cloud Pak for Data | Core platform for modern data integration, governance, and analytics | Senior | | IBM Knowledge Catalog / DataStage migration | Enables seamless transition of legacy ETL workloads to the cloud | Senior | | IBM Manta | Provides automated data lineage and impact analysis for governance | Senior | # Interview Preparation 1. **How have you migrated large‑scale DataStage jobs to IBM Cloud Pak for Data?** *What the interviewer is looking for:* concrete migration methodology, tools used, challenges faced, and performance outcomes. 2. **Explain how you would design a data lineage solution using IBM Manta.** *What the interviewer is looking for:* understanding of metadata capture, impact analysis, and governance benefits. 3. **What standards and patterns do you enforce to guarantee data quality across multiple sources?** *What the interviewer is looking for:* knowledge of data profiling, validation rules, and monitoring frameworks. 4. **Describe a scenario where you translated a complex business requirement into a scalable data architecture.** *What the interviewer is looking for:* ability to bridge business and technical domains, solution design, and scalability considerations. 5. **How do you collaborate with analytics and IT teams to ensure consistent data lifecycle management?** *What the interviewer is looking for:* communication skills, governance processes, and cross‑team coordination. # Resume Optimization - IBM Cloud Pak for Data - IBM Knowledge Catalog - DataStage migration - IBM Manta - Data architecture standards - Data quality & consistency - Data lifecycle management - Enterprise data integration - Cross‑functional collaboration - Hybrid cloud implementation # Application Strategy When you email the recruiter, start with a brief greeting, attach your updated resume, and clearly highlight your top skills that match the JD. Make sure to mention related skills you possess, such as IBM Cloud Pak for Data, DataStage migration expertise, and IBM Manta lineage implementation. Reference any Michigan‑state experience if applicable, and briefly cite a project where you defined data architecture standards. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|-------------------|------------|---------------| | Data Warehouse Architect 3 (ETL) | 10+ yrs data platform & IBM stack | Architecture design, migration, governance | Senior Data Warehouse Architect | | Senior Data Warehouse Architect | 12‑15 yrs, broader portfolio | Strategic roadmap, multi‑domain governance | Data Architecture Director | | Data Architecture Director | 15+ yrs, leadership across org | Enterprise data strategy, stakeholder alignment | VP of Data & Analytics |

The telecom sector is rapidly evolving with cloud‑based communications reshaping how businesses connect. Roles focused on UCaaS, CCaaS, and voice infrastructure are in high demand as companies prioritize seamless, high‑quality interactions. This Telecom Network Engineer position in Boston offers a chance to work on cutting‑edge voice solutions while leveraging your expertise in QoS and VLAN design. # Job Summary We are seeking a skilled Telecom Network Engineer to design, implement, and maintain voice and data networking solutions for enterprise customers. The role focuses on UCaaS/CCaaS platforms, IVR systems, QoS tuning, and VLAN segmentation to ensure high‑quality, reliable communications. You will work on‑site in Boston, collaborating with cross‑functional teams to deliver end‑to‑end voice infrastructure. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|---------------| | UCaaS / CCaaS | Enables cloud‑based voice and contact‑center services essential for modern enterprises | Senior | | IVR & Voice Infrastructure | Core to designing and maintaining reliable call routing and telephony services | Senior | | QoS & VLAN | Guarantees voice quality and network segmentation for optimal performance | Mid | # Interview Preparation 1. **How do you design QoS policies to prioritize voice traffic over data traffic?** *What the interviewer is looking for:* Understanding of DiffServ, DSCP markings, and traffic shaping techniques. 2. **Explain the steps to integrate a UCaaS solution with an existing on‑premise PBX.** *What the interviewer is looking for:* Knowledge of SIP trunking, session border controllers, and hybrid deployment models. 3. **What are the key considerations when configuring VLANs for voice and data separation?** *What the interviewer is looking for:* Ability to discuss VLAN tagging, trunk ports, and security isolation. 4. **Describe a troubleshooting workflow for a failed IVR call flow.** *What the interviewer is looking for:* Systematic approach covering logs, SIP traces, and component verification. 5. **How would you monitor and ensure SLA compliance for a cloud‑based contact center?** *What the interviewer is looking for:* Experience with monitoring tools, KPI dashboards, and proactive alerting. # Resume Optimization - Telecom Network Engineer - UCaaS - CCaaS - IVR - Voice Infrastructure - QoS - VLAN - Cloud Communications - Network Design - Boston # Application Strategy When reaching out to the recruiter, send a concise email that opens with a polite greeting, attaches your updated resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as UCaaS/CCaaS implementation, IVR development, and QoS/VLAN configuration, and reference any projects where you delivered similar solutions. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|--------------------|------------|---------------| | Telecom Network Engineer | 2‑4 years in voice & data networks | UCaaS, QoS, VLAN design | Senior Telecom Network Engineer | | Senior Telecom Network Engineer | 4‑7 years, project leadership | End‑to‑end solution architecture | Lead Network Engineer | | Lead Network Engineer | 7‑10 years, cross‑functional teams | Strategic network planning | Director of Network Engineering |

The demand for Pega experts is soaring as enterprises modernize their case management and automation platforms. This role offers a chance to lead complex workflow architectures while leveraging cutting‑edge AI and integration technologies. If you thrive on designing scalable solutions and driving continuous delivery, this opportunity is worth your attention. # Job Summary We are seeking a seasoned PEGA Senior Developer/Architect (LSA) to design and implement scalable case types, intelligent automation, and enterprise integrations. You will own CI/CD pipelines, monitor platform health, and ensure a seamless user experience using modern UI/UX patterns. The role demands deep expertise in Pega, REST/SOAP, event‑driven messaging, and Azure‑backed deployment tooling. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|---------------| | Pega Platform Architecture (case types, stages, SLAs) | Core to building scalable, maintainable solutions | Senior | | Enterprise Integration (REST, SOAP, JMS/Kafka) | Enables seamless data flow across systems of record | Senior | | CI/CD & Observability (Deployment Manager, Azure, PDC) | Guarantees reliable releases and platform health | Senior | # Interview Preparation 1. **How do you design a scalable case type hierarchy in Pega?** *What the interviewer is looking for:* Understanding of case management best practices, reuse of stages, and performance considerations. 2. **Explain how you would integrate a legacy system using SOAP and Kafka in a Pega application.** *What the interviewer is looking for:* Ability to combine synchronous (SOAP) and asynchronous (Kafka) patterns, handling of integration contracts, and error handling. 3. **Describe your approach to implementing document‑centric automation with OCR/AI services.** *What the interviewer is looking for:* Experience with Pega Robot Manager, decision tables/trees, and orchestration of external AI services. 4. **What steps do you take to set up CI/CD pipelines for Pega on Azure?** *What the interviewer is looking for:* Knowledge of Deployment Manager, Azure DevOps, environment promotion strategy, and rollback mechanisms. 5. **How do you monitor and troubleshoot performance issues using PDC, PAL, and Tracer?** *What the interviewer is looking for:* Practical use of Pega’s observability tools, interpreting metrics, and proactive remediation. # Resume Optimization - Pega Platform Architecture - LSA (Lead System Architect) - Case Management - REST API Integration - SOAP Services - JMS/Kafka Eventing - Azure Deployment Manager - CI/CD Pipelines - Decisioning & AI Automation - Pega Robot Manager # Application Strategy When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly reference the role. Highlight your top three skills that match the job—such as Pega Architecture, Enterprise Integration, and CI/CD automation—and cite specific projects where you applied those skills. Make sure to mention any relevant certifications (e.g., LSA) and your experience with Azure‑backed deployments. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|--------------------|------------|---------------| | PEGA Sr. Developer / Architect (LSA) | 10+ years Pega, integration, automation | End‑to‑end solution design, governance | PEGA Lead Architect / Solutions Director | | PEGA Lead Architect | 12‑15 years, multi‑domain leadership | Strategy, portfolio governance, client engagements | Director of Digital Automation |

Full‑stack development is at the heart of modern digital products, and expertise in both Java back‑end and React front‑end is in high demand. Companies in the Bay Area are especially eager to hire engineers who can deliver microservice‑based solutions quickly. This Java Full Stack Developer role offers a 12‑month contract in San Leandro, giving you a chance to showcase your skills locally. # Job Summary We are seeking a Java Full Stack Developer proficient in React and Spring Boot to design, build, and maintain microservice‑based applications. The role involves end‑to‑end development, from UI implementation to back‑end services, ensuring high performance and scalability for enterprise‑grade solutions. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|--------------| | Java | Core language for building robust back‑end services and APIs. | Senior | | React | Enables dynamic, responsive user interfaces that interact with microservices. | Mid | | Spring Boot (Microservices) | Provides rapid development of scalable, container‑ready services. | Senior | # Interview Preparation 1. **Explain the lifecycle of a Spring Boot microservice from development to deployment.** *What the interviewer is looking for:* Understanding of Spring Boot starters, embedded servers, configuration, Dockerization, and CI/CD pipelines. 2. **How do you manage state and session handling in a React application communicating with stateless microservices?** *What the interviewer is looking for:* Knowledge of JWT, local storage, Redux or Context API, and best practices for stateless back‑ends. 3. **Describe a strategy to optimize performance for a Java‑based REST API serving high traffic.** *What the interviewer is looking for:* Use of async processing, caching (e.g., Redis), connection pooling, and profiling tools. 4. **What are the trade‑offs between monolithic and microservice architectures in a Java ecosystem?** *What the interviewer is looking for:* Ability to discuss scalability, deployment complexity, data consistency, and operational overhead. 5. **Walk me through debugging a React component that fails to render data fetched from a Spring Boot service.** *What the interviewer is looking for:* Step‑by‑step troubleshooting using browser dev tools, network inspection, error boundaries, and server logs. # Resume Optimization - Java - React - Spring Boot - Microservices - Full Stack Development - San Leandro - CA - In‑person interview - Local candidate - 12 months # Application Strategy When contacting the recruiter, send a concise email greeting them, attach your updated resume, and clearly highlight your top skills. Make sure to mention related skills you possess, such as Java, React, and Spring Boot, and reference any projects where you built microservice‑based applications. Emphasize that you are a local candidate ready for an in‑person interview. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|-------------------|------------|---------------| | Java Full Stack Developer | 2–4 years building end‑to‑end applications | Java, React, Spring Boot microservices | Senior Full Stack Engineer | | Senior Full Stack Engineer | 4–7 years leading feature delivery and architecture decisions | System design, performance optimization | Lead Engineer / Architect | | Lead Engineer / Architect | 7+ years overseeing multiple services and teams | Technical strategy, mentorship | Engineering Manager |

Full stack .NET development is at the heart of modern enterprise solutions, and demand for seasoned architects continues to surge. This senior role offers the chance to shape high‑impact applications while leveraging 15+ years of expertise. With a 12‑month contract and relocation support, it’s a strategic move for any veteran developer. # Job Summary We are seeking a senior Full Stack .NET Developer to design, build, and maintain enterprise‑grade applications. The role spans backend services with .NET/.NET Core, modern front‑end frameworks like Angular or React, and cloud‑native micro‑services deployed on Azure or AWS. You will lead technical discussions, mentor junior engineers, and ensure performance and scalability across the stack. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|---------------| | C# / .NET Core | Core backend language for building robust services and APIs | Senior | | Angular / React (TypeScript) | Drives responsive UI and integrates with APIs for full‑stack delivery | Senior | | Microservices & Cloud (Azure/AWS) | Enables scalable, maintainable architecture and deployment pipelines | Senior | # Interview Preparation 1. **Explain how you would design a micro‑services architecture for a high‑traffic e‑commerce platform using .NET Core.** *What the interviewer is looking for*: Understanding of service boundaries, communication patterns (REST, gRPC), data consistency, and deployment strategies on Azure/AWS. 2. **Walk through the process of optimizing an ASP.NET Web API for low latency and high throughput.** *What the interviewer is looking for*: Knowledge of async programming, caching, connection pooling, and performance profiling tools. 3. **Describe a complex state management solution you implemented in Angular or React using TypeScript.** *What the interviewer is looking for*: Experience with Redux/NGRX, component communication, and handling large data sets efficiently. 4. **How do you set up a CI/CD pipeline that integrates unit tests, security scans, and automated deployments to Azure?** *What the interviewer is looking for*: Familiarity with Azure DevOps, GitHub Actions, Docker, and best practices for automated quality gates. 5. **Give an example of a challenging database migration you performed between SQL Server and a NoSQL store.** *What the interviewer is looking for*: Strategies for data modeling differences, migration tooling, and ensuring data integrity during the transition. # Resume Optimization - C# - .NET Core - ASP.NET MVC - Web API - Angular - React - TypeScript - Microservices - Azure - CI/CD # Application Strategy When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly maps your experience to the role. Highlight your top skills such as C#/.NET development, Angular/React front‑end work, and cloud‑based micro‑services design. Mention specific projects where you led performance optimizations or mentored junior engineers, and reference the exact technologies listed in the job description. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|-------------------|------------|---------------| | Senior Full Stack .NET Developer | 15+ years building end‑to‑end solutions | Architecture, performance, team leadership | Lead Engineer / Technical Lead | | Lead Engineer / Technical Lead | 2–4 years leading multiple projects | Strategic roadmap, cross‑team coordination | Engineering Manager | | Engineering Manager | 3–5 years managing people and budgets | People development, delivery excellence | Director of Engineering |

The AI-driven data product space is exploding as businesses seek smarter insights from massive datasets. Companies that can blend robust data architecture with cutting‑edge generative AI are gaining a decisive competitive edge. This AI Data Product Lead role offers a unique chance to shape market‑ready AI solutions in a fast‑moving startup environment. # Job Summary The AI Data Product Lead will evaluate and redesign data architecture, partner with AI vendors, and build scalable analytics and generative AI solutions on Azure. Responsibilities include ensuring data quality, governance, and security while translating business vision into market‑ready AI products. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |-------|-------------------|---------------| | Data Architecture | Foundations for scalable analytics and governance | Senior | | Azure Data Stack (Cosmos, Synapse, Power BI, Fabric) | Enables end‑to‑end data pipelines in the cloud | Senior | | AI/ML Product Development | Translates business use‑cases into deployable AI solutions | Senior | # Interview Preparation 1. **How would you redesign an existing data architecture to support real‑time AI analytics?** *What the interviewer is looking for:* Ability to assess current state, identify bottlenecks, and propose scalable Azure‑based solutions. 2. **Explain how you would ensure PII compliance while building a merchant analytics platform.** *What the interviewer is looking for:* Knowledge of data privacy regulations, masking/encryption techniques, and governance frameworks. 3. **Describe a end‑to‑end workflow you’ve built using Azure Cosmos DB, Synapse, and Power BI.** *What the interviewer is looking for:* Hands‑on experience with the Azure stack and ability to integrate services for insights. 4. **What strategies would you use to evaluate and integrate an external AI vendor’s technology?** *What the interviewer is looking for:* Vendor assessment criteria, proof‑of‑concept planning, and alignment with business goals. 5. **How do you measure the success of a generative AI product after launch?** *What the interviewer is looking for:* Definition of KPIs, feedback loops, and iterative improvement processes. # Resume Optimization - Data Architecture - Azure Cosmos DB - Azure Synapse Analytics - Power BI - Azure Fabric - Generative AI - Payment Data Analytics - PII Compliance - Vendor Management - AI Product Development # Application Strategy When reaching out to the recruiter, send a concise email greeting, attach your updated resume, and clearly highlight your top relevant skills. Make sure to mention related skills you possess, such as data architecture, Azure data stack expertise, and AI/ML product development. Reference specific projects where you delivered AI‑driven insights or managed vendor integrations, and tie each back to the responsibilities listed in the job description. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |--------------|--------------------|------------|---------------| | AI Data Product Lead | 5‑7 years in data architecture & AI product delivery | End‑to‑end AI solutions on Azure | Senior AI Data Product Lead | | Senior AI Data Product Lead | 8‑10 years, leading cross‑functional AI initiatives | Scaling AI portfolio, strategic vendor partnerships | AI Product Director | | AI Product Director | 10+ years, enterprise‑wide AI strategy | Visionary AI roadmap, P&L ownership | VP of AI & Data Innovation |

The finance consolidation and reporting space is booming as companies seek tighter controls and faster close cycles. An EPMC FCC Lead role puts you at the heart of these transformations, offering a chance to drive end‑to‑end implementations from design through go‑live. This position is perfect for seasoned professionals who thrive on hands‑on leadership and deep technical expertise. # Job Summary The EPMC FCC Lead will independently own full‑lifecycle FCC implementations, covering requirements gathering, design, build reviews, data loading, technical testing, report development, training, UAT, documentation, and go‑live. The role demands deep knowledge of complex consolidation processes, GAAP accounting, SEC reporting, and data integrations while maintaining hands‑on involvement throughout each phase. # Top 3 Critical Skills Table | Skill | Why it's critical | Mastery Level | |---|---|---| | End‑to‑End FCC Implementation | Drives successful, repeatable consolidations across the enterprise | Senior | | Complex Consolidations & Configurations | Ensures accurate financial statements and compliance | Senior | | GAAP & SEC Reporting Knowledge | Guarantees regulatory compliance and reliable reporting | Senior | # Interview Preparation 1. **Describe the full lifecycle of an FCC implementation you led.** *What the interviewer is looking for:* Ability to articulate each phase, decision‑making rationale, and ownership. 2. **How do you design and configure complex consolidation rules in FCC?** *What the interviewer is looking for:* Depth of technical knowledge and problem‑solving approach. 3. **Explain your process for data integration and technical testing during an FCC rollout.** *What the interviewer is looking for:* Understanding of data quality, mapping, and validation techniques. 4. **What GAAP and SEC considerations must be addressed in consolidation reporting?** *What the interviewer is looking for:* Awareness of regulatory impact on consolidation logic. 5. **Walk us through a challenging UAT scenario you managed and how you resolved it.** *What the interviewer is looking for:* Hands‑on troubleshooting, stakeholder communication, and issue resolution skills. # Resume Optimization - FCC - End-to-End Implementation - Consolidations - Data Integration - Narrative Reporting - GAAP - SEC Reporting - UAT - Technical Testing - Report Development # Application Strategy When contacting the recruiter, send a concise email that greets the hiring manager, attaches your updated resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as **End‑to‑End FCC Implementation**, **Complex Consolidations**, and **GAAP/SEC Reporting**. Reference specific projects where you led the full implementation lifecycle and tie them directly to the responsibilities listed in the job description. # Career Roadmap | Current Role | Typical Experience | Core Focus | Next Position | |---|---|---|---| | EPMC FCC Lead | 5+ years FCC implementations | Full‑cycle implementation, compliance, leadership | Senior FCC Architect (7‑10 yrs) | | Senior FCC Architect | 7‑10 years, multi‑project ownership | Strategy, solution design, cross‑functional leadership | FCC Practice Director (10+ yrs) | | FCC Practice Director | 10+ years, enterprise‑wide impact | Business transformation, portfolio management | VP of Finance Technology |