AI/ML Engineer Demand # 22948

Hybrid in Fort Worth, TX, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
6 Months
Hybrid
$60 - $70/hr
Fitment

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Job Details

Skills

  • PYTHON
  • SOFTWARE ARCHITECT
  • SOLUTIONS ARCHITECT
  • PRINCIPAL ENGINEER
  • STAFF ENGINEER
  • AI ARCHITECT
  • ML ARCHITECT
  • JAVA
  • GO
  • TYPESCRIPT
  • DISTRIBUTED SYSTEMS
  • MICROSERVICES
  • EVENT-DRIVEN ARCHITECTURE
  • KAFKA
  • REST
  • GRPC
  • LLM
  • LARGE LANGUAGE MODEL
  • GENAI
  • GENERATIVE AI
  • AGENTIC AI
  • LANGCHAIN
  • LANGGRAPH
  • SEMANTIC KERNEL
  • CREWAI
  • AUTOGEN
  • RAG
  • RETRIEVAL AUGMENTED GENERATION
  • PROMPT ENGINEERING
  • ORCHESTRATION
  • TOOL USE
  • MULTI-AGENT
  • AGENT ORCHESTRATION
  • AI AGENTS
  • OBSERVABILITY
  • RELIABILITY
  • GUARDRAILS
  • AWS
  • AZURE
  • GCP
  • KUBERNETES

Summary

Location: Fort Worth, TX/Hybrid (must be 3 days onsite/week )
Duration: 6+ Months Contract

Job Description:

As a Sr. Eng to Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for CLIENT’s 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.

Top 3 Mandatory Skills and Experience:
1) 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).
2) 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.
3) 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/Clienture/Google Cloud Platform), 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.
 
 
 
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .
 
Equal Employment Opportunity (EEO) Statement:
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement:
By applying, you acknowledge that AI-assisted tools may be used during hiring.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: usts
  • Position Id: 26-12287
  • Posted 10 hours ago
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