Artificial Intelligence Specialist

Vinu Sanjeeva Rao;

We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.

Please refer the below job description and apply if interested.

For a brief 1 minute video about us, you can check

https://youtu.be/uJWBWQZEA6o.

Designation: AI Lead/ Sr. engineer

Location: Dallas, TX or Raleigh, NC or New York, NY (Onsite)

Job Type: Fulltime

Key Responsibilities:

Solution Design: Lead the design and development of robust, scalable, and secure backend architectures using Python and related frameworks

Deliverables: Define technical standards, patterns, and best practices for development and deployment

Collaboration: Collaborate with product managers, frontend teams, DevOps, and QA to define technical requirements and ensure end-to-end system integration

Stakeholder Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the value and potential of the platform. This involves collaborating closely with customer stakeholders to define success criteria, designing and implementing bespoke agent configurations, and demonstrating quantifiable business impact

Agent Orchestration: Architect agent orchestration solutions aligned with customer requirements, ensuring timely implementation and delivery.

Platform Development: Develop resilient, scalable, and high-performance platforms and tools to support product evolution and seamless production deployment.

Mandatory Evaluation Mastery: Own the definition, implementation, and analysis of agent and LLM evaluation benchmarks (reference tests, heuristics, model-graded evaluation). This includes metrics for helpfulness, accuracy, hallucination, and safety.

Performance Optimization: Optimize the platform and infrastructure for performance, scalability, and cost-efficiency.

Best Practices: Establish and enforce best practices for code quality, model versioning, experimentation tracking, and FinOps, TechOps, MLOps, AIOps

Mentorship & Guidance: Provide technical leadership and mentorship to junior AI engineers and researchers.

Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques and tools to enhance our capabilities.

Documentation: Create comprehensive technical documentation for architectures, models, and processes.