Description

Job Description

Must Have Technical/Functional Skills

Primary Skill: Data science, architecture, genAI architecture

Secondary: Python, LLM, AI/ML, Vector search tech(Elasticsearch, pinecone, FAISS)

Experience: 8 to 10 years

Roles & Responsibilities

Position Summary

The DCRS Inbound Correspondence Team is seeking a Senior Generative AI Solutions Architect to lead the design and scaling of an enterprise-grade Document Intelligence platform within the DCRS Inbound Correspondence organization.

This role will define architecture for LLM-powered solutions that enable document classification, intelligent data extraction, and retrieval-augmented generation (RAG) across large, complex document ecosystems.

The ideal candidate combines deep expertise in GenAI, distributed systems, and enterprise architecture, with a strong focus on performance, governance, and regulatory compliance.

Key Responsibilities

· Architect and deliver scalable GenAI solutions for:

o Document classification and routing

o Data extraction and entity recognition

o Knowledge retrieval and Q&A using RAG

· Design and optimize end-to-end RAG architectures, including:

o Embeddings and chunking strategies

o Vector database selection and tuning

o Retrieval, re-ranking, and response generation

· Lead deployment strategies for LLM inference at scale, partnering with infrastructure teams on:

o GPU-based environments (vLLM, Triton)

o Performance tuning and cost optimization

· Establish and implement model governance frameworks, including:

o Explainability and traceability

o Audit trails and compliance alignment

o Evaluation pipelines and model benchmarking

· Define reference architectures, standards, and best practices for GenAI adoption across the enterprise

· Produce architecture artifacts:

o Diagrams, design documents, and technical roadmaps

o Executive-level presentations and decision materials

· Collaborate across Engineering, Product, Risk, and Compliance to ensure safe, scalable, and business-aligned solutions

Required Qualifications

· 8+ years of experience in software or solution architecture

· 3+ years of experience in AI/ML or Generative AI

· Strong hands-on expertise with:

o LLMs and GenAI frameworks (OpenAI, Hugging Face, LLaMA, Mistral)

o Embeddings and vector search technologies (Elasticsearch, Pinecone, FAISS)

· Advanced proficiency in Python, including:

o FastAPI

o LangChain / LlamaIndex

· Proven experience designing and implementing RAG-based solutions at enterprise scale

· Experience with:

o GPU-based model serving and optimization (vLLM, Triton)

o Cloud-native architectures and microservices

o MLOps practices (CI/CD, monitoring, versioning)

· Strong understanding of risk, compliance, and governance frameworks in regulated environments

· Excellent communication skills, with the ability to present comple x technical concepts to executive stakeholders

Preferred Qualifications

· Master’s degree in computer science, Data Science, or related field

· Experience delivering Document AI or correspondence processing platforms

· Demonstrated ability to:

o Lead architecture from concept through production

o Operate independently with strong ownership

· Strong problem-solving and analytical capabilities

· Experience navigating enterprise data ecosystems and cross-LOB collaboration

· Ability to manage multiple priorities in a fast-paced environment Work Model

· Hybrid: 3 days per week in office

· Onsite presence required Day 1

Key Skills

Education

Any Graduate