Key skills
MicroservicesPythonAIGenerative AIGenAILLMLarge Language ModelsLangChainLangGraphCommunication
About this role
Role Overview
- Lead AI Opportunity Discovery: Partner with leaders and teams across the organization to deeply understand workflows, identify pain points, and uncover high-leverage opportunities for AI automation and efficiency gains
- Design & Prototype AI Solutions: Apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows)
- Deploy Sustainable Solutions: Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions aligned with long-term organizational goals
- Act as an Internal Consultant & Accelerator: Provide expert guidance on AI capabilities, responsible AI usage, prompt engineering best practices
- Drive Adoption & Enablement: Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value
- Collaborate with Core AI Teams: Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases
- Ensure Responsible AI: Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines
- Measure & Communicate Impact: Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders
- Stay Ahead of the Curve: Continuously research and experiment with emerging AI models, tools, and industry best practices
Requirements
- 8+ years of experience in software engineering or a highly analytical, operational, or technical role
- At least 1+ years focused on applied AI, Generative AI, or intelligent automation
- Strong understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts)
- Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no-code/low-code automation platforms, agent frameworks LangChain/LangGraph, Python)
- Proven ability to rapidly prototype and demonstrate working solutions
- Background in AI/LLM infrastructure is a plus
- Proven expertise in designing, building, scaling, and maintaining production services
- Strong understanding of microservices architecture
- Ability to write high-quality, well-tested code that meets customer needs
- Strong technical skills in system design, coding, and debugging complex technical issues
- Demonstrated ability to understand complex business processes and translate them into technical requirements and AI opportunities
- Strong ROI-driven mindset with experience quantifying business value from technology initiatives
- Familiarity with financial services, crypto, or high-growth tech environments is a plus
- Outstanding written and verbal communication skills
- Proven track record of influencing stakeholders and driving adoption of new technologies or processes
- Highly analytical and structured problem-solver
- Ability to manage multiple parallel initiatives and prioritize effectively in a fast-paced environment
- Experience working cross-functionally with legal, security, compliance, and engineering teams
- Strong understanding of data privacy, security, and ethical considerations related to AI
Tech Stack
- Microservices
- Python
Benefits
- Bonus eligibility
- Equity eligibility
- Benefits (including medical, dental, vision and 401(k))