- W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Job ID:
J48907
Specialized Area:
GenAI Solution Architect
Job Title:
GenAI Solution Architect
Location:
denver,CO
Duration:
14 Months
Domain Exposure:
Banking & Finance, Telecom
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EADClient:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Bench Recruiter:
Donna-Evans
Key Responsibilities
· Design and implement backend architectures for scalable GenAI solutions.
· Build agentic RAG pipelines with strong context management.
· Lead model grounding, fine-tuning, and distillation for enterprise AI.
· Implement observability and monitoring frameworks for AI in production.
· Drive responsible AI practices, aligning with risk and compliance policies.
· Integrate GenAI frameworks, cloud services, and container orchestration.
· Optimize AI deployments for scalability, resilience, and cost efficiency.
· Lead agile project delivery, mentoring technical teams.
· Communicate architectural decisions clearly to both technical and business leaders.
Required Qualifications
· 12+ years of experience in building and scaling software systems.
· Proven expertise in backend and distributed cloud-native architectures.
· Hands-on experience with Generative AI techniques: agentic RAG, prompt context, grounding, fine-tuning.
· Strong knowledge of responsible AI, risk, and compliance frameworks.
· Proficiency in containerization (Docker) and orchestration (Kubernetes).
· Experience with Cognigy.AI or similar conversational AI platforms.
· Skilled in cloud platforms (AWS, Azure, GCP) for AI deployments.
· Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Haystack).
· Experience with MLOps, CI/CD, and AI observability.
· Excellent communication and leadership skills with experience in agile delivery.
· Strategic thinker with strong problem-solving and analytical abilities.
Preferred Qualifications
· Experience with model distillation and cost optimization.
· Background in multi-cloud or hybrid AI deployments.
· Knowledge of vector databases, retrieval pipelines, and embeddings.
· Certifications in AI/ML, cloud architecture, or responsible AI.
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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Amtex is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Amtex will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Amtex require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract