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Open nowPosted 73 days ago

Principal Engineer I - App Engg & AI

Anblicks87 open roles

Where
Dallas
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Your applicationOpen nowPrincipal Engineer I - App Engg & AIAnblicks · Dallas

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Anblicks postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 73 days ago

Anblicks median: 2 days open

The posting

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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