Lead AI/ML Architect: Enterprise LLM & RAG Solutions

Robotic Technologies Automation

City of Albany (NY)

On-site

USD 81,000 - 109,000

Full time

4 hours ago
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Job summary

Robotic Technologies Automation in Albany, NY is seeking a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities across the Finance organization. You will lead AI-powered solutions including LLM workflows, RAG, and intelligent agents, working with Finance, Data Engineering, Architecture, Security, and Responsible AI teams.

The role emphasizes governance, production readiness, observability, and continuous improvement of AI systems in an enterprise setting.

Qualifications

  • Bachelor's degree or equivalent in a technical field.
  • Extensive experience in software engineering, ML, or AI engineering.
  • Hands-on production experience with generative AI and LLMs.
  • Experience with prompt engineering, RAG, AI agents, evaluation, and governance.
  • Strong grasp of cloud-native architectures, APIs, data platforms, and scalable systems.
  • Knowledge of Responsible AI, security, privacy, and compliance.

Responsibilities

  • Design AI solution architectures aligned with objectives, risk, and governance.
  • Build and deploy LLM workflows, prompt orchestration, agents, RAG, and model integrations.
  • Develop grounding strategies, tool-calling patterns, guardrails, and fallbacks.
  • Collaborate with Data Engineering to ensure trusted data sources.
  • Create evaluation frameworks, datasets, and performance benchmarks.
  • Monitor quality, latency, cost, and mitigate hallucination; drive continuous improvement.

Skills

AI engineering
LLM deployments
Prompt engineering
Cloud-native architectures
Data governance & security
Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Job description

Robotic Technologies Automation in Albany, NY is seeking a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities across the Finance organization. You will lead AI-powered solutions including LLM workflows, RAG, and intelligent agents, working with Finance, Data Engineering, Architecture, Security, and Responsible AI teams.

The role emphasizes governance, production readiness, observability, and continuous improvement of AI systems in an enterprise setting.

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