Forward Deployed AI Engineer

Quick Facts

• Role: Forward Deployed AI Engineer (embedded builder role)

• Team: Data & AI

• Work style: Hybrid (Dallas/Las Colinas office), ~10% travel

Description

Embed with internal business units to discover where AI can change how work gets done and build solutions that prove measurable value. You move quickly from discovery to production using Copilot Studio, Power Platform, and Microsoft Fabric (plus approved AI tools), integrating into the systems where work already happens. Adoption and business outcomes drive success.

Responsibilities

• Collaborate with stakeholders across field operations, estimating, sales, finance, HR, and leadership to understand workflows and initiatives

• Turn vague requests into scoped problem statements and identify AI opportunities by impact, cost, risk, and revenue

• Build trusted relationships and bring problems early to the team

• Rapidly build AI solutions using Copilot Studio, Azure AI Foundry, Microsoft Fabric, Power Platform, Claude, and Python

• Integrate with systems such as Salesforce, on-premises Business Central, Dayforce, and field service platforms

• Present early prototypes to users, gather feedback, and iterate toward measurable outcomes

• Define success measures with business owners, track results post-launch, and adjust or stop work that isn’t delivering value

• Take low-code/configuration solutions through production with named business ownership, documentation, evaluation cases, and light support rotation

• Coordinate with the AI Product Engineer for solutions needing extensive custom code or complex agents

• Partner with data governance to ensure data access, security, and responsible AI standards

• Drive adoption via training, office hours, champions, and follow-up on usage; teach safe, effective use of approved AI tools

• Feed field learnings back into the roadmap through reusable components and priorities

Requirements

• 5+ years of experience in software engineering, data engineering, applied machine learning, solutions engineering, or a related technical role

• 2+ years building AI or LLM-based solutions used in production

• Strong Python and SQL skills, including REST API and enterprise system integrations

• Hands-on LLM experience (prompt design, RAG, tool use, basic evaluation)

• Experience with a cloud AI platform such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI

• Demonstrated ability to run discovery with stakeholders and scope ambiguous problems into buildable solutions

• Demonstrated ability to ship quickly, measure results, and iterate from user feedback

• Clear communication skills for explaining AI capabilities, limits, and risks to non-technical audiences

• Ability to work independently and manage multiple engagements; comfort with ~10% travel

• Legal authorization to work in the United States without current or future employer sponsorship

Benefits

• Shape how AI is applied across the company in a fast-growing Data & AI organization

• Small, senior team with real ownership and direct access to leaders across business functions

• Current AI tooling across the Microsoft stack and Claude, with an operating model favoring speed and governance

• Work focused on real-world business impact in estimation, scheduling, and delivery