D&pe Ai Solutions

LeadAIEngineer

$140–231k O'Fallon, Missouri, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead AI Engineer at D&pe Ai Solutions. Skills: AI Engineering, Agentic Systems, Production Engineering, Cross-functional Leadership. Drive critical business outcomes. Lead design of agentic systems”

What You'll Achieve.

Improve productivity; Improve efficiency; Improve employee experience; Improve cost outcomes; Achieve task success rate; Reduce human intervention rate; Reduce policy violations; Reduce cost per task; Reduce latency

Industry & Context.

Problems you'll solve

Root cause analysis; Troubleshooting; Failure handling

What They're Looking For.

Must Have

Hands-on experience designing multi-agent systems, Goal decomposition and planning experience, Tool and function calling experience, Context engineering experience, Harness design experience, Memory and retrieval patterns experience, Evaluations experience, Practical experience with Copilot Studio, Practical experience with Azure AI Foundry, Practical experience with Salesforce Agentforce, Practical experience with Microsoft Power Platform, Background in scalable deployment architectures, Background in high-availability runtime design, Background in failure handling, Background in operational excellence, Proven ability to collaborate with platform teams, Proven ability to collaborate with security teams, Proven ability to collaborate with governance teams, Proven ability to collaborate with business teams, Ability to clearly communicate trade-offs, Ability to drive adoption of shared standards, Ability to drive adoption of best practices, Excellent written communication skills, Excellent verbal communication skills, Ability to translate complex technical concepts, Ability to provide clear, actionable guidance

What You'll Do.

Drive critical business outcomes

Lead design of agentic systems

Lead deployment of agentic systems

Build intelligent agents

Address complex business problems

Improve employee experience

Improve cost outcomes

Understand requestor needs

Understand impacted personas

Understand business processes

Understand jobs-to-be-done

Recommend solution approaches

Evaluate solution approaches

Define safe tool-use patterns

Enforce safe tool-use patterns

Define scalable tool-use patterns

Enforce scalable tool-use patterns

Define structured outputs

Define robust error handling

Define human-in-the-loop workflows

Own production observability

Own operational readiness

Monitor cost telemetry

Monitor token telemetry

Drive continuous improvement

Define clear success metrics

Expand evaluation coverage

How You'll Work.

Team & Collaboration

Collaborate with platform teams; Collaborate with security teams; Collaborate with governance teams; Collaborate with business teams; Drive adoption of standards; Drive adoption of best practices

Communication Scope

Translate technical concepts; Actionable guidance

Full Job Description

**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Lead AI Engineer ### Overview: This role seeks an established AI engineering subject-matter expert who applies deep domain and technical expertise to drive critical business outcomes. In this role, you will lead the design and deployment of complex, production‑grade agentic systems—particularly multi‑agent, multi‑tool solutions that automate and enhance how the Services business operates. You will be responsible to build intelligent agents capable of reasoning, planning, and safely invoking tools; managing memory; and continuously improving through systematic evaluation and feedback. About D&PE AI Solutions Team: The Data & Productivity Engineering (D&PE) organization builds the data infrastructure, automation, and AI solutions that enable data‑driven decision‑making and scalable, efficient business processes across the Services division. Within D&PE, the AI Solutions team focuses specifically on improving productivity and employee experience by combining modern AI capabilities with existing and emerging data assets and platforms. Key Responsibilities: Design, develop, and operate high‑impact AI solutions that address complex business problems while improving productivity, efficiency, employee experience, and cost outcomes across the Services organization. Deeply understand requestor needs, impacted personas, underlying business processes, and jobs‑to‑be‑done to recommend the most effective solution approach. Evaluate whether a given r

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