Hybrid Senior Consultant, Artificial Intelligence Engineer

at Pioneer Management Consulting

• Job title: Senior Consultant, Artificial Intelligence Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $110,000 - $165,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, ETL, Python, PyTorch, Scikit-Learn, SQL
• Location requirements: Hybrid, Minneapolis, United States

About the role

• Senior Consultant delivering enterprise-grade AI solutions for business challenges. Collaborating with clients and teams at Pioneer Management Consulting to drive measurable outcomes.

Responsibilities

• Serve as a client-facing lead on AI initiatives—advising senior stakeholders on architecture tradeoffs, 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, including 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.

Benefits

• Comprehensive benefits package including meaningful time off and paid holidays
• Parental leave
• 401(k) with employer match
• Tuition reimbursement
• Broad range of health and welfare benefits including medical, dental, vision, life, and short- and long-term disability.