AI Tech Lead

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Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries.

Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

Role- AI Tech Lead

Location
- Alpharetta, GA and NYC, NY

• Provide technical leadership and architectural oversight across AI-led HDLC and SDLC tooling initiatives.
• Lead design and implementation of Python-based enterprise applications, including integration with existing SDLC tools (Jira, CI/CD pipelines, repositories).
• Own solution architecture for brownfield and selective greenfield initiatives, ensuring scalability, security, and alignment with Morgan Stanley standards.
• Guide and review AI and GenAI integrations, including usage of approved AI gateways, OpenAI APIs, and real-time APIs (no LLM training or fine-tuning).

• 10+ years of overall software engineering experience.
• 3–5+ years in a Technical Lead.
• Strong expertise in Python for enterprise application development.
• Experience building RESTful and real-time APIs.
• Familiarity with microservices and service-oriented architectures.
• Working experience with Angular (or similar modern UI frameworks).
• Experience integrating applications with AI platforms and APIs (e.g., OpenAI, internal AI gateways).
• Understanding of RAG concepts, embeddings, and AI-assisted development tools.
• Proven ability to design scalable, secure, and maintainable architectures.

• Mid-Senior level

• Full-time

• Information Technology
• Software Development, Investment Banking, and Financial Services

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