Agentic AI Technical Architect/ Lead AI Engineer

Brillio; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Brillio in Dallas seeks an Agentic AI Technical Architect/ Lead AI Engineer to define the reference architecture, while remaining hands-on in critical implementation, code review, and engineering mentorship.

You will architect across model access, orchestration, retrieval, data, APIs, identity, and observability, build initial reference components, and set standards for reliability, security, and performance.

Qualifications

• 7–9 years total experience; max 10 years for this mandate.
• Production application and API design, cloud delivery, containers, and CI/CD.
• Hands-on RAG, tool/function calling, agent orchestration and model evaluation.
• Current coding evidence and mentoring experience with less-experienced engineers.

Responsibilities

• Define application architecture across model access, orchestration, retrieval, data, APIs, identity, and observability.
• Build initial reference components and review production code.
• Set standards for output, state, memory, asynchrony, testing, and failure handling.
• Establish evaluation, regression, security, and cost/latency practices.
• Mentor four early-career engineers through pairing, design review, and code review.
• Partner with the Product Manager to turn workflows into feasible product increments.

Skills

Software architecture

Hands-on coding

Reliability & security

Cloud & data integration

Mentoring

Product judgment

Tools

Containers

CI/CD

Job description

Agentic AI Technical Architect/ Lead AI Engineer

Define the solution approach, architecture blueprint, and scalable platform design.

Market-facing title: Lead AI Engineer / Technical Architect.

Purpose: Own the reference architecture while remaining hands-on in critical implementation, code review, and engineering mentorship.

Core responsibilities

• Define application architecture across model access, orchestration, retrieval, data, APIs, identity, and observability.
• Build initial reference components and review production code.
• Set standards for structured output, state, memory, asynchronous processing, testing, and failure handling.
• Establish evaluation, regression, security, and cost/latency practices.
• Mentor four early-career engineers through pairing, design review, and code review.
• Partner with the Product Manager to convert user workflows into technically feasible product increments.

Required evidence

• 7-9 years total experience; keep maximum experience under 10 years for this mandate.
• Production application and API design, cloud delivery, containers, and CI/CD.
• Hands-on RAG, tool/function calling, agent orchestration and model evaluation.
• Current coding evidence and experience guiding less-experienced engineers.

Required Capabilities

• Software and systems architecture- Coherent service, data, API, state, and failure design
• Hands-on coding recency- Can implement, debug and review code live
• Reliability, security, and evaluation- Test, tracing, guardrail, and recovery strategy
• Cloud/data/integration- Practical platform and enterprise integration decisions
• Mentoring and product judgment- Raises team capability and makes pragmatic trade-offs