AI Practice Consultant

Digineer; Minneapolis (MN); Hybrid; USD 115,000 - 175,000; Full time

Benefits offered by this job

Medical plan options

Dental and vision coverage

401(k) plans

Disability and life insurance

Unlimited personal time off

Job summary

Digineer is seeking an AI Practice Consultant in the Twin Cities area to partner with the AI Practice Leader on opportunity shaping, discovery, proposals, solution design, and implementation. You will lead client conversations, explain tradeoffs, and translate unclear problems into credible recommendations.

You will design and deliver AI applications, agentic systems, and data pipelines, connecting engineering choices to measurable business value.

Qualifications

• At least 5 years of professional experience, including 3+ years designing, building, and delivering AI solutions with measurable business value.
• Ability to independently take an AI solution from concept through delivery.
• Knowledge Engineering experience, including semantic modeling and ontology development.
• Experience with modern LLM ecosystems, including prompt engineering, retrieval augmented generation (RAG), agent frameworks, Model Context Protocol (MCP), and model evaluation, with hands-on use of AI coding agents such as Claude Code.
• Strong data integration and engineering skills across enterprise data sources.
• Excellent written and verbal communication, with ability to work directly with clients.
• Experience facilitating discussions, explaining technical concepts to nontechnical audiences, and building trusted relationships.
• Curiosity, problem solving, and ability to learn unfamiliar technologies quickly.
• Ownership of outcomes, including the quality of work and business value delivered.
• Ethical approach to technical decisions and client recommendations.

Responsibilities

• Partner with the AI Practice Leader to qualify opportunities and assess where AI can produce business value.
• Facilitate discovery sessions that uncover business needs, constraints, and measures of success.
• Shape solution approaches, estimate effort, and develop proposals.
• Present recommendations to prospective clients, explaining feasibility, tradeoffs, and expected outcomes.
• Advise clients on where AI is appropriate and where another approach is more suitable.
• Build trusted relationships with executives, business users, and technical teams.
• Facilitate workshops and lead technical working sessions.
• Translate complex technical concepts into clear business decisions.
• Surface risks, challenge assumptions, and keep stakeholders aligned as requirements evolve.
• Design and implement AI applications, agentic systems, and supporting data pipelines.
• Connect and transform enterprise data for AI workflows.
• Own solution workstreams from proof of concept through production handoff.
• Evaluate solution performance against requirements and business objectives.
• Maintain high standards for engineering quality, testing, documentation, and delivery.
• Develop semantic models, ontologies, and knowledge representations with the AI Practice Leader.
• Apply Digineer’s Knowledge Engineering methodology to client solutions.
• Represent business concepts and relationships to support AI reasoning.

Skills

Knowledge Engineering

Semantic modeling

Ontology development

LLM ecosystems

Prompt engineering

RAG

Model Context Protocol

AI coding agents

Data integration

Client communication

Stakeholder management

Ambiguity handling

Ownership of outcomes

Ethics in AI

Tools

Claude Claude Code

Azure AI

OpenAI

Agent frameworks

Python

GitHub

Job description

A client sees an opportunity for AI but needs to know what is worth building, what it will take, and whether it will deliver. You’ll work through those questions with them and build the solution.

As an AI Practice Consultant at Digineer, you’ll partner directly with the AI Practice Leader across opportunity shaping, discovery, proposals, solution design, and implementation. Client advisory and presales will be a significant, ongoing part of your work. You’ll lead conversations with business stakeholders, explain technical tradeoffs, and turn unclear problems into credible recommendations.

You’ll also design and deliver AI applications, agentic systems, and supporting data pipelines. This position requires demonstrated experience shipping AI solutions and the ability to connect engineering decisions to measurable business value.

You’ll apply and deepen your expertise in Knowledge Engineering, including semantic modeling and ontology development that support advanced AI reasoning. Prior experience in this discipline is required, along with curiosity, sound problem solving, and a commitment to continued learning. You’ll work directly with the AI Practice Leader to apply that expertise to client engagements.

What you’ll do

Client advisory and opportunity development

Partner with the AI Practice Leader to qualify opportunities and assess where AI can produce business value.

Facilitate discovery sessions that uncover business needs, constraints, and measures of success.

Shape solution approaches, estimate effort, and develop proposals.

Present recommendations to prospective clients, explaining feasibility, tradeoffs, and expected outcomes.

Advise clients on where AI is appropriate and where another approach makes more sense.

Build trusted relationships with executives, business users, and technical teams.

Facilitate workshops and lead technical working sessions.

Translate complex technical concepts into clear business decisions.

Surface risks, challenge assumptions, and keep stakeholders aligned as requirements evolve.

Design and implement AI applications, agentic systems, and supporting data pipelines.

Connect and transform enterprise data for use in AI workflows.

Own solution workstreams from proof of concept through production handoff.

Evaluate solution performance against technical requirements and business objectives.

Maintain high standards for engineering quality, testing, documentation, and delivery.

Develop semantic models, ontologies, and knowledge representations in collaboration with the AI Practice Leader.

Apply Digineer’s Knowledge Engineering methodology to client solutions.

Represent business concepts and relationships in ways that support AI reasoning.

What you bring

At least 5 years of professional experience, including 3 or more years designing, building, and delivering AI solutions that produced measurable business value.

Demonstrated ability to independently take an AI solution from concept through delivery.

Prior experience in Knowledge Engineering, including semantic modeling and ontology development.

Experience with modern LLM ecosystems, including prompt engineering, retrieval augmented generation (RAG), agent frameworks, Model Context Protocol (MCP), and model evaluation, along with hands on use of AI coding agents such as Claude Code in delivery.

Strong data integration and engineering skills across enterprise data sources.

Excellent written and verbal communication, with both the ability and desire to work directly with clients.

Experience facilitating discussions, explaining technical concepts to nontechnical audiences, and building trusted relationships.

Curiosity, sound problem solving, and the ability to learn unfamiliar technologies quickly.

Ability to work through ambiguity and apply sound engineering judgment.

Ownership of outcomes, including the quality of your work and the business value it delivers.

An ethical approach to technical decisions and client recommendations.

Residence in the Twin Cities area, or firm plans to relocate, with availability to work at client sites and the Digineer office as engagements require.

Professional references will be required during the final stages of the hiring process.

Additional experience we value

Claude Certified Architect to Foundations or Claude Certified Architect to Professional certification from Anthropic. Candidates who do not hold one at hire will be expected to earn Claude Certified Architect to Foundations within three months of their start date.

Delivery of multiple production AI solutions across business domains or industries.

Experience rapidly learning and applying emerging AI technologies in production.

Work with business stakeholders to define requirements and translate ambiguous problems into technical solutions.

Applied classical machine learning experience; computer vision experience is a plus.

Healthcare experience across payer, provider, pharmacy, or health technology organizations.

Recognition from clients or employers for technical, business, or consulting contributions.

Contributions to the AI community through publications, presentations, open source projects, or technical leadership.

Technology environment

You’ll work with technologies such as:

Anthropic Claude, including Claude Code, the Claude Agent SDK, and Model Context Protocol (MCP).

Azure AI, OpenAI, and comparable platforms.

Modern LLM platforms.

Agent frameworks and orchestration.

Retrieval augmented generation.

Python.

Enterprise data platforms and integrations.

GitHub and modern software development practices.

The specific tools will evolve. You’ll be expected to evaluate new approaches and apply those suited to the client’s needs.

What success looks like

During your first year, you’ll be expected to:

Earn the Claude Certified Architect to Foundations certification within your first three months, if you don’t already hold a Claude Certified Architect certification.

Earn client trust and become a reliable contributor on engagements.

Own AI solution workstreams from proof of concept through production handoff.

Contribute to opportunity shaping and proposal development.

Apply your Knowledge Engineering experience and develop proficiency in Digineer’s methodology.

Expand your technical and consulting capabilities and take on greater responsibility as the practice grows.

How we work

This position reports directly to the AI Practice Leader. Work includes a mix of remote delivery, collaboration at our Minneapolis office, and client engagement on site. The balance depends on the assignment.

Travel is based on client needs. Most travel is local and does not require overnight stays; occasional overnight travel may be required.

Pay, Benefits & Time Off

The salary range for this position is $115,000 to $175,000. Actual compensation is based on relevant skills, experience, degrees, certifications, geographic location, and market considerations. This position is also eligible for bonuses based on performance and quarterly/annual bonuses.

Full time employee benefits include:

• medical plan options
• dental and vision coverage
• 401(k) plans
• disability and life insurance
• personal well being benefits
• unlimited personal time off