AI Architect

About the role

Seeking a Data Science Architect with deep expertise in Generative AI to design and scale enterprise-grade Document AI platforms for the financial services industry. This role requires a combination of hands-on technical leadership in AI/ML architecture, strong Python development skills, and the ability to communicate complex technical strategies to executive leadership.

Key Responsibilities

• Design and scale enterprise-grade Document AI platforms for the financial services industry.
• Lead architecture for document classification, data extraction, and Retrieval-Augmented Generation (RAG) solutions.
• Architect GenAI solutions for large-scale document processing, extraction, and question-answering.
• Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs.
• Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton.
• Drive model risk management, explainability, auditability, and evaluation frameworks.
• Create architecture diagrams, technical documentation, and executive-level presentations.
• Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions.

Required Experience & Technical Skills

• 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI.
• Hands-on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch).
• Strong Python development skills, including FastAPI and LangChain.
• Experience with GPU optimization, cloud-native deployments, and MLOps practices.
• Excellent communication and presentation skills, including presenting to executive leadership.

Qualifications

• Master's degree in Computer Science, Data Science, or a related technical discipline.
• Bachelor's degree in Computer Science (minimum requirement).
• Experience collaborating with diverse business and technology stakeholders across multiple Lines of Business.
• Highly motivated self-starter with strong ownership and ability to execute independently.
• Strong critical thinking and problem-solving capabilities.
• Ability to navigate enterprise data assets across multiple functions.
• Highly organized with the ability to manage multiple priorities in a fast-paced environment.
• Strong analytical and customer-focused mindset.

Pay

$100,000 - $125,000 a year

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

This response is AI-generated, for reference only.