Overview
Hybrid
$165000
Full Time
Job Details
Unable to partner with 3rd party vendors (Corp-to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided.
Lead AI Engineer
Overview:
We are seeking a Lead AI Engineer to architect and implement advanced AI solutions that transform business operations and customer experiences. This role combines technical leadership with hands-on development, guiding the roadmap, building prototypes, and deploying production-grade AI applications. The ideal candidate will have strong engineering expertise, a product-focused mindset, and the ability to mentor teams in AI best practices.
Key Responsibilities:
- Define priorities and deliver early wins for a newly established AI-focused team.
- Develop AI-driven features across web, mobile, and enterprise platforms.
- Design and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and scalable APIs.
- Integrate AI capabilities into client-facing and internal systems in collaboration with product engineering teams.
- Act as a technical liaison between data engineering, software development, and product management.
- Establish AI governance, ethics, and transparency standards in partnership with security and compliance teams.
- Mentor engineers and foster AI fluency across the technology organization.
- Serve as the organization’s AI subject matter expert and advisor to business leaders.
Qualifications:
- 5+ years in software engineering or AI product development (experience in financial services or fintech is a plus).
- Proven track record delivering production-grade AI projects.
- Hands-on experience with:
- Generative AI / LLM solutions (e.g., GPT, Claude, Llama).
- Frameworks such as LangChain, Hugging Face, LlamaIndex.
- RAG architectures and vector database integration.
- Strong proficiency in:
- AWS services (Bedrock, Lambda, S3, etc.).
- Full-stack development (React, Node.js, Python, or similar).
- SQL / NoSQL data platforms.
- RESTful API design and development.
- Familiarity with conversational UX, generative AI design principles, MLOps, and CI/CD pipelines.
- Understanding of responsible AI principles.
- Excellent communication skills with the ability to translate technical outcomes into business value.
- Entrepreneurial mindset and ability to thrive in a fast-paced environment.
- BS in Computer Science or related field.
Work Location:
Hybrid role requiring on-site presence 3 days per week at the designated office.
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