Openkyber
AI

Identity AI / ML Engineer

Openkyber · GA, US

Actively hiring Posted 5 months ago

Role Overview We are looking for an experienced AI/ML Lead to drive the design, development, and deployment of next-generation Generative AI and Agentic AI systems . This is a lead-level role requiring strong hands-on expertise, architectural ownership, and the ability to mentor teams while working closely with stakeholders.

Key Responsibilities:

  • Lead the end-to-end design and implementation of AI/ML and Generative AI solutions
  • Architect and build Agentic AI systems (multi-agent workflows, orchestration, autonomous decision-making)
  • Design scalable AI solutions using AWS Bedrock and the broader Generative AI stack
  • Drive AI use cases leveraging the Snowflake AI stack (critical requirement)
  • Collaborate with data engineering, product, and platform teams to integrate AI models into production systems
  • Ensure best practices around model governance, security, scalability, and performance
  • Mentor and guide junior engineers and data scientists
  • Stay current with emerging AI/ML trends and apply them pragmatically to business problems

Mandatory Core Skills (Must-Have):

  • Snowflake AI stack (Snowflake Cortex, Snowpark, ML workloads on Snowflake) Critical
  • AWS Bedrock (model selection, orchestration, deployment)
  • Generative AI stack (LLMs, embeddings, RAG pipelines, prompt engineering)
  • Agentic AI systems (agents, tools, memory, planning, orchestration frameworks)
  • Strong experience with Python and ML frameworks
  • Cloud-native architecture experience on AWS

Good-to-Have Skills:

  • Experience with vector databases and RAG frameworks
  • Exposure to MLOps / LLMOps pipelines
  • Experience integrating AI solutions into enterprise-scale applications
  • Prior experience in a lead or architect role

Ideal Candidate Profile:

  • Proven experience leading AI/ML initiatives in product engineering or enterprise environments
  • Strong balance of hands-on technical depth and leadership
  • Ability to translate business problems into scalable AI solutions
  • Comfortable working in fast-paced, client-facing environments

For applications and inquiries, contact: [email protected]

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Remote Ai Machine Learning Data Science Data Engineer Robotics Generative Ai
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