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

Benefits

Bonus eligibility
Equity eligibility
Benefits (including medical, dental, vision and 401(k))

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Generative AIlarge language modelsAI automationprompt engineeringmicroservices architecturesystem designcodingdebuggingprototypingAI/LLM infrastructure

Soft Skills

communicationanalytical problem-solvingstakeholder influenceprioritizationcollaborationadaptabilityfeedback gatheringvalue communicationconsultingorganizational skills