Job Title : Lead Artificial Intelligence Engineer
Location : San Francisco, California,
Type : Full Time
Job summary:
Our client, a leading financial services innovator, is seeking an AI Engineer to join their growing Artificial Intelligence team. This role offers the opportunity to design and deliver advanced AI-driven solutions that transform both customer experiences and internal operations.
Key Responsibilities:
- Collaborate with cross-functional experts including engineers, data scientists, and product leaders to design and deploy AI-powered systems that redefine how the organization serves customers.
- Build, test, and maintain scalable AI components — from model training and inference pipelines to governance, evaluation, and observability frameworks.
- Work hands-on with cutting-edge open-source and cloud technologies such as PyTorch, Hugging Face, Vector Databases, AWS UltraClusters, and related tools.
- Innovate and implement optimization strategies to enhance performance, scalability, cost efficiency, and reliability of enterprise-scale AI systems.
- Contribute to the long-term technical roadmap, driving the evolution of foundational AI capabilities within the organization.
Who You Are:
- A passionate builder who takes pride in crafting robust, high-quality systems and thrives on solving complex, undefined problems.
- Naturally curious and research-oriented, staying informed about emerging AI advancements and applying them thoughtfully in real-world settings.
- Highly technical, with a strong grounding in software engineering, mathematics, and AI infrastructure — always seeking performance and efficiency gains others might overlook.
- A creative problem-solver who can navigate ambiguity, influence stakeholders, and pioneer new solutions.
Required Qualifications:
- Bachelor’s degree in Computer Science, Electrical or Computer Engineering, AI, or a related discipline with 6+ years of experience in AI/ML development, or a Master’s degree with 4+ years of experience.
- Proficiency in programming languages such as Python, Go, Scala, or Java.
Preferred Qualifications:
- 7+ years of experience deploying and managing scalable AI solutions in cloud environments (AWS, Azure, GCP, or equivalent).
- Proven track record in designing, integrating, and supporting complex AI systems.
- Leadership experience guiding engineering teams and influencing cross-functional initiatives.
- Hands-on experience in LLMs, vector search, guardrails, and related AI technologies.
- Expertise in optimizing AI training and inference for cost, latency, and throughput efficiency.
- Strong communication skills with the ability to translate technical concepts into clear, actionable insights.
