Job Description

Senior Consultant - Data Engineering & Infrastructure for AI


Forward Deployed Engineer - Agentic AI


Team Build: Multiple Hires


📍 Dallas, Texas, United States - 3 days in office and local travel for client delivery


Multiple Hires - Senior/Lead and Associate Director Level


Why This Role?


This isn’t just another AI position. We’re looking for engineers who can architect and deliver agentic AI systems end-to-end, taking ideas well beyond prototypes into reliable, production-grade solutions. You’ll collaborate closely with enterprise and public sector clients, guiding initiatives from early proof-of-concept through to business-critical platforms used by hundreds or even thousands of people.


What You’ll Do



  • Architect agentic systems: Take ownership of the full agent lifecycle (plan → execute → learn), including orchestration via DAGs or state machines and long-term memory design.

  • Develop resilient tooling: Build schemas, retry logic, rate controls, and SDKs to enable safe and extensible system use.

  • Design memory & knowledge layers: Deliver episodic and semantic memory services, retrieval interfaces, deduplication pipelines, and summarisation agents.

  • Ship to production at scale: Roll out containerised platforms across Kubernetes, serverless environments, and GPU infrastructure, with CI/CD, monitoring, and automated scaling.

  • Harden system reliability: Implement guardrails, latency and cost controls, checkpointing, and reviewer/critic patterns to improve output quality.

  • Run structured evaluation: Create automated testing frameworks using golden datasets, retrieval performance checks, and ongoing drift detection.

  • Partner with stakeholders: Facilitate workshops, roadmap planning, and capability assessments, turning advanced AI concepts into clear, practical plans.


What We’re Looking For


Required:



  • Demonstrated experience designing, building, and running LLM‑powered or agentic systems in live production environments.

  • Solid core engineering skills across orchestration, state and memory handling, deployment pipelines, and system observability.

  • Working knowledge of agent‑based patterns and frameworks (such as LangGraph, ReAct, or chain‑of‑thought loops), or the capability to implement these approaches from first principles.

  • Comfortable operating in customer‑facing contexts, including leading workshops, delivering presentations, and providing technical guidance or advisory support.


Preferred:



  • Degree or higher in AI, Computer Science, or a related technical discipline.

  • Familiarity with PyTorch or TensorFlow, vector databases, RAG workflows, and orchestration frameworks.

  • Experience in start‑ups (versatile, hands‑on generalist) or consulting environments (client‑facing).

  • Exposure to regulated sectors or compliance‑heavy industries.

  • Self‑driven, entrepreneurial attitude; able to work independently and take ownership of projects.


Why Join?



  • Real-World Impact: Build and deploy mission‑critical agentic AI systems that solve tangible problems.

  • Cutting-Edge Challenges: Work on orchestration and deployment problems that go far beyond standard integration.

  • Global Collaboration: Remote‑first role offering chances to work with teams around the world.

  • Career Growth: Shape enterprise AI strategies and contribute meaningfully to the wider AI ecosystem.

  • Dynamic Culture: Join a fast‑moving team at the forefront of applied AI innovation.


Seniority level


Not Applicable


Employment type


Full‑time


Job function


Information Technology


Industries


Business Consulting and Services


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