Technology Solutions Architect | Machine Learning | data science

IMCS Group Inc
  • Fort Worth, TX
  • Quick Apply
30+ days ago

Job Description

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!!!

READ BEFORE SUBMITTING
" UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
" Limited to 1 submission per supplier. Please submit your best.
" We prioritize endorsing those with complete and accurate information
" Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
" Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
" Please submit profiles within the max proposed rate***
" Please make sure to TAG the profiles correctly if the candidate has WORKED FOR *** as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

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? Yes

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:

Custom Fields:
Name: Intake Call Completed
Value: true

Name: Intake Call Requested
Value: true



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.

Numbers & Facts

LocationFort Worth, TX

Skills

  • Adverse Eventsunmatched
  • Agile Programming Methodologiesunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Architectural Designunmatched
  • Artificial Intelligence (AI)unmatched
  • Benchmarkingunmatched
  • Call Centersunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Customer Support/Serviceunmatched
  • Data Scienceunmatched
  • Design Patterns Programming Methodologiesunmatched
  • Distributed Computingunmatched
  • Diversity Recruitingunmatched
  • Ecosystemsunmatched
  • Embedded Systemsunmatched
  • Financeunmatched
  • Fortune 500 Customersunmatched
  • GCP (Good Clinical Practices)unmatched
  • Go Programming Language (Golang)unmatched
  • Health Information Technologyunmatched
  • Javaunmatched
  • Kernel Programmingunmatched
  • Machine Learningunmatched
  • Machine Toolunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Multiplatform/Cross-Platformunmatched
  • Production Supportunmatched
  • Python Programming/Scripting Languageunmatched
  • REST (Representational State Transfer)unmatched
  • Software Architectureunmatched
  • Software Engineeringunmatched
  • System Architectureunmatched
  • System Operationsunmatched
  • TOGAF - The Open Group Architecture Frameworkunmatched
  • Technical Leadershipunmatched
  • Technical/Engineering Designunmatched

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