Principal Engineer I - App Engg & AI

Anblicks; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Anblicks, a leading consulting firm, seeks a senior architect to design frameworks enabling a 700-person team to ship governed autonomous systems across regulated clients.

You will own reference architectures, lead reviews with Fortune 500 clients, and build production code hands-on while shaping evaluation strategies, tenancy patterns, and scalable LLM applications.

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 / Azure AI Foundry, or equivalent).
• Strong grounding in a server-side language (Java/Spring Boot, Python, TypeScript) and IaC.
• Practical experience with agentic patterns: tool use, multi-step planning, orchestration, human-in-the‑loop approval flows.

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.
• 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).
• App Development: Build functional applications using large language models and APIs (OpenAI, Anthropic, Llama).
• Model and control unit economics — per-session token cost, agentic loop multipliers, model tiering.
• Mentor senior and lead engineers; raise the ceiling of the org.
• Partner with go-to-market on technical positioning, differentiations, and executive-level narratives.

Skills

Distributed systems

LLM-based systems

Java/Spring Boot

Python

TypeScript

IaC

Agentic patterns

Security & compliance

Tools

AWS Bedrock

Azure AI Foundry

OpenAI API

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.