The Role
Design and ship governed autonomous-system frameworks and LLM applications for regulated enterprise clients. Own platform architecture, evaluation harnesses, multi-tenant identity and authorization, compliance controls, and AI unit economics. Mentor engineering leaders and partner with go-to-market teams on technical positioning and executive architecture narratives.
Summary Generated by Built In
You will be designing the frameworks that lets a 700-person consulting firm ship governed autonomous systems repeatably across regulated clients.
- 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.
- 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.
- 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.
Skills Required
- 10+ years building and operating production distributed systems
- 3+ years shipping LLM-based systems
- Deep experience with AWS Bedrock, Azure AI Foundry, or an equivalent major cloud AI stack
- Production-depth experience with Java/Spring Boot, Python, or TypeScript
- Experience with infrastructure-as-code
- Practical experience with agentic patterns, including tool use, planning, orchestration, human-in-the-loop approvals, MCP, or comparable protocols
- Experience designing compliance-sensitive systems with audit logging, data residency, least-privilege authorization, and policy enforcement
- Ability to communicate technical and business arguments with client executives
- Experience with compilers, type systems, policy engines, or CI/CD platforms
- Consulting or professional services background
- Experience with Snowflake, Databricks, data governance tooling, or enterprise data quality platforms
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
