Senior AI Solutions Architect — Enterprise (Hybrid)

Grow with us. Lead with us. At Pioneer, you’ll work directly with executive teams, solving complex problems and shaping strategies that reset what’s possible. Sometimes the work is headline-worthy. Sometimes it’s foundational. But every project earns trust – and earns us the right to take on more. You’ll get the kind of access, challenge, and growth found at big firms – while helping build a company that’s scaling fast and guided by what we value. If you’re looking for meaning, momentum, and a seat at the table, you’re in the right place. Senior Consultant, Artificial Intelligence Engineer You will play a pivotal role in shaping and delivering enterprise‑grade, data‑centric AI solutions that help clients solve complex business problems and drive measurable outcomes. You are a senior, self‑directed consultant who operates comfortably across architecture, hands‑on technical delivery and client leadership. In this role, you will serve as a trusted advisor to client leaders while also acting as a technical lead and builder—designing, implementing and scaling AI systems that sit on modern data platforms. Your work will span agentic AI, RAG architectures, analytics + ML pipelines, and AI‑enabled applications, primarily within the Microsoft ecosystem. You bring a strong engineering mindset—particularly with Python, modern data platforms (Microsoft Fabric, Databricks, Snowflake), Azure AI Foundry, and vector‑based retrieval systems—and are comfortable owning solutions end to end, from data ingestion through AI inference and user‑facing experiences. You are fluent in both hands‑on ML/AI development and low‑code/no‑code AI tooling, and you leverage AI‑native development environments to accelerate delivery. Responsibilities Serve as a client‑facing lead on AI initiatives—advising senior stakeholders on architecture trade‑offs, build vs. buy, platform selection, and adoption strategy—while translating business goals into pragmatic AI and data roadmaps. Lead the end‑to‑end design and hands‑on delivery of AI solutions, including RAG, agentic workflows, ML‑enabled analytics pipelines, and AI‑powered applications and copilots. Write and review production‑grade code; own solution architecture across ingestion, transformation, storage, retrieval, model orchestration, and inference. Design and implement ETL/ELT pipelines in Python on modern data platforms (Microsoft Fabric, Databricks, and/or Snowflake), optimizing data structures for analytics, ML, and vector retrieval. Rapidly deliver POCs and MVPs, and build reusable accelerators and reference architectures that scale across engagements. Mentor consultants and collaborate with strategists, engineers, and change practitioners to deliver cohesive, governed, responsibly‑designed AI systems. Requirements 5+ years in consulting, data engineering, analytics or AI solution delivery, with proven ownership of client‑facing technical workstreams and production‑ready AI/ML outcomes. Strong hands‑on development in Python, with deep experience in data transformation, modeling and machine learning; SQL familiarity is a plus but not required. Hands‑on experience with modern data platforms—Microsoft Fabric, Databricks, and/or Snowflake—plus Azure AI Foundry for LLM orchestration and AI application development. Proven experience designing and implementing RAG and agentic/multi‑agent architectures, incl. prompt engineering, tool calling and structured outputs; working knowledge of vector databases (Azure AI Search preferred) and LLM lifecycle concerns (evaluation, versioning, monitoring, cost). Proven experience developing and deploying custom AI and ML solutions in production environments, including model training, evaluation, versioning, monitoring and inference; solid ML fundamentals (feature engineering, model selection, pipelines) with hands‑on experience using frameworks such as scikit‑learn, PyTorch or MLflow. Strong consulting presence: able to translate ambiguous business problems into clear technical designs, facilitate architecture sessions with senior stakeholders and lead small technical teams. Proficiency with AI‑native development environments and IDE agent platforms such as Cursor, Claude Desktop or equivalent tools; demonstrated use of these environments to accelerate code authoring, refactoring and solution delivery. Experience with CI/CD pipelines and modern DevOps practices for AI/ML workloads (e.g. automated testing, deployment pipelines, model lifecycle management in production). Hands‑on experience with low‑code and no‑code AI tools (e.g. Microsoft Copilot, Claude Desktop, Copilot Studio) to prototype, augment and accelerate solution delivery alongside traditional development. Preferred: Copilot Studio / custom copilots / Power Platform AI experience; background in regulated or asset‑intensive industries (utilities, energy, manufacturing, financial services); prior contribution to AI strategy or enterprise AI enablement; SQL experience for data transformation and analytics. Location Must be local to Minneapolis, MN or Denver, CO for flexible, hybrid schedule. Benefits The estimated salary range for this role is $110,000 - $165,000 annually, based on a wide array of factors including skillset, years of experience and role scope. Compensation may vary by location. Bonuses and other incentives are awarded at the Company’s discretion and are based upon individual contributions and overall company performance. Pioneer offers a comprehensive benefits package including meaningful time off and paid holidays, parental leave, 401(k) with employer match, tuition reimbursement and a broad range of health and welfare benefits including medical, dental, vision, life and short‑ and long‑term disability. #J-18808-Ljbffr Pioneer Management Consulting