Technology Solutions Architect | Machine Learning | data science

IMCS Group Inc

Fort Worth, TX

JOB DETAILS
SKILLS
Adverse Events, Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Benchmarking, Call Centers, Cloud Computing, Code Reviews, Customer Support/Service, Data Science, Design Patterns Programming Methodologies, Distributed Computing, Diversity Recruiting, Ecosystems, Embedded Systems, Finance, Fortune 500 Customers, GCP (Good Clinical Practices), Go Programming Language (Golang), Health Information Technology, Java, Kernel Programming, Machine Learning, Machine Tool, Microservices, Microsoft Windows Azure, Multiplatform/Cross-Platform, Production Support, Python Programming/Scripting Language, REST (Representational State Transfer), Software Architecture, Software Engineering, System Architecture, System Operations, TOGAF - The Open Group Architecture Framework, Technical Leadership, Technical/Engineering Design
LOCATION
Fort Worth, TX
POSTED
30+ days ago
Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs.  IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical.  We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description: POC: Sam Chavez

ATTENTION ALL SUPPLIERS!!!

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Job Title: Technology Solutions Architect | Machine Learning | data science -- Principal Solution Architect
Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite. Candidate will be working hybrid; onsite 3 days a week and 2 days virtually)
Contract duration: 6
MAX VENDOR RATE: ***per hour max
Target Start Date: 05 May 2026
Does this position require Visa independent candidates only? No

Must Have Skills:
10+ years software architecture experience with at least 3 years designing AI/ML platform systems, including hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, or similar).
Deep expertise in distributed systems design, microservices architecture, event-driven patterns, and API design (REST/gRPC), with strong proficiency in Python and at least one of Java/Go/TypeScript.
Production experience building and deploying agentic AI systems or LLM-powered applications at scale, including prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability.

Nice to Have Skills:
Experience with Kubernetes/container orchestration, cloud platforms (AWS/Azure/GCP), MLOps/LLMOps tooling, vector databases (Pinecone, Weaviate, pgvector), knowledge graphs, airline/travel domain experience, TOGAF or similar architecture certification, experience with multi-agent system design patterns and agent evaluation/benchmarking frameworks.

Detailed Job Description:
As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for American Airlines agentic AI platform.
Day-to-day responsibilities include: designing and evolving the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines; establishing patterns for agent reliability, observability, and guardrails at production scale; leading technical design reviews and producing architecture decision records (ADRs); collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable; evaluating and integrating emerging agentic AI frameworks (e.g., LangGraph, CrewAI, Semantic Kernel, AutoGen); defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem; mentoring engineers on best practices for building production-grade AI systems.
A great candidate is a seasoned architect who has shipped production agentic AI systems - not just prototypes. They can whiteboard a multi-agent orchestration system, debate tradeoffs between different LLM routing strategies, and then jump into code to prove out a design. They understand that agentic systems at airline scale need bulletproof reliability, graceful degradation, and real observability. They have opinions backed by experience, they push back on bad ideas constructively, and they make the engineers around them better.
The AI Platforms Capabilities team builds and operates the Agentic System Layer (ASL), which is American Airlines core platform for deploying agentic AI systems. The team operates in an agile environment with a focus on rapid iteration, production reliability, and close collaboration between architects, engineers, and ML engineers. The team works hybrid from the DFW office.
The resource will be embedded directly into the ASL squad, working alongside full-time engineers and architects on platform development, feature delivery, and production support. They will participate in sprint ceremonies, code reviews, and architecture discussions.
Candidate will be working hybrid; onsite 3 days a week and 2 days virtually. Interviews will have 2 rounds.

Minimum Years of Experience:
10+ years

Certifications Needed:
None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Interview Process (Is face to face required?)
Interview will be 2 rounds

Any additional information you would like to share about the project specs/nature of work:

EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.

About the Company

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IMCS Group Inc