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Job description
You will be designing the frameworks that lets a 700-person consulting firm ship governed autonomous systems repeatably across regulated clients.
Responsibilities
Own architecture decision records and reference architecture for the platform; drive review with enterprise architecture teams at Fortune 500 clients.
Build production code. This role is roughly 70% hands‑on — you set direction by shipping the hard parts,
Define the evaluation strategy: offline eval harnesses, regression suites for non‑deterministic systems, and the quality bar that gates promotion.
Design multi‑tenant isolation, identity, and authorization patterns (OIDC/PKCE, M2M, JIT provisioning) suitable for data‑sensitive clients.
App Development: Build functional applications using large language models (LLMs) and APIs (e.g., OpenAI, Anthropic, open-source Llama).
Model and control unit economics — per-session token cost, agentic loop multipliers, model tiering — so engagements stay margin‑positive.
Mentor senior and lead engineers; raise the ceiling of the org, not just the output of a project.
Partner with go‑to‑market on technical positioning, competitive differentiation, and executive‑level architecture narratives.
Required Qualifications
10+ years building and operating production distributed systems; 3+ years shipping LLM‑based systems.
Deep experience with at least one major cloud AI stack (AWS Bedrock / AgentCore, Azure AI Foundry, or equivalent) and fluency in the tradeoffs of the others.
Strong grounding in one server‑side language at production depth (Java/Spring Boot, Python, TypeScript) plus infrastructure‑as‑code.
Practical experience with agentic patterns: tool use, multi‑step planning, orchestration, human‑in‑the‑loop approval flows, MCP or comparable protocol work.
Track record designing for compliance‑sensitive environments — audit logging, data residency, least‑privilege authorization, policy enforcement.
Ability to hold a technical argument with a client’s chief architect and a business argument with their CFO in the same meeting.
Preferred
Prior work on compilers, type systems, policy engines, or CI/CD platforms — the mental model transfers directly.
Consulting or professional services background; comfort with multi‑client context switching.
Experience with Snowflake, databricks or data governance tooling, or enterprise data quality platforms.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.