{"id":3854091,"url":"https://alion.io/job/headway-tek-generative-ai-architect","title":"Generative AI Architect","company":{"id":4442793,"name":"Headway Tek","domain":"headwaytek.com","url":"https://alion.io/company/headway-tek-inc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-11-05T15:27:31Z","employer_posted_date":null,"last_verified_at":"2026-11-08T04:52:56Z","board_verified":false,"closed_at":"2026-11-08T04:52:56Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Title: Generative AI Architect\n Location: Plano,TX\n Experience: 8-15 yrs \n C2C or W2 or Fulltime\n\n We are looking for an experienced and hands-on Generative AI (GenAI) Architect to design and implement enterprise-scale AI solutions. The ideal candidate will have strong experience with LLMs, Agentic AI, RAG, MLOps/LLMOps, cloud architecture, and enterprise production deployments.\n The candidate must have proven experience taking GenAI solutions from prototype/POC to scalable enterprise production environments.\n\n Key Responsibilities\n Architect and implement end-to-end Generative AI and Agentic AI solutions.\n Design enterprise-grade solutions using LLMs, RAG, multi-agent workflows, and vector databases.\n Build scalable AI architectures on Microsoft Azure or Google Cloud Platform (Google Cloud Platform).\n Lead GenAI solutions from POC/prototype through production deployment.\n Integrate GenAI solutions with enterprise applications, APIs, data platforms, and cloud services.\n Establish MLOps/LLMOps practices for deployment, monitoring, and lifecycle management.\n Design solutions considering enterprise security, scalability, governance, reliability, and integration requirements.\n\n Must-Have Skills\n 8 10+ years of experience in Software Engineering, Data Science, Machine Learning, or AI.\n 3+ years of experience as a Solution Architect/System Architect.\n Strong enterprise-level experience architecting and deploying GenAI solutions in large-scale production environments.\n Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI/Multi-Agent architectures.\n Strong programming experience in Python.\n Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.\n Strong cloud architecture experience with Microsoft Azure or Google Cloud Platform.\n Hands-on experience with vector databases such as Pinecone, Milvus, Qdrant, or PGVector.\n Strong understanding of MLOps/LLMOps, model deployment, monitoring, and productionization.\n Experience with SQL, PySpark, distributed computing, and API design.\n Experience with PyTorch or TensorFlow.\n\n Preferred Skills\n Experience designing and implementing multi-agent AI ecosystems.\n Strong knowledge of enterprise AI 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