Job Description: Data & AI Architect / Engineer(24207-1)
Duration: 6-12+ Months Contract
Location: Remote
Must Have Skills
• Skill 1 – Generative AI / LLM application development
• Skill 2 – Agentic AI and agent-based workflow design
• Skill 3 – Retrieval-Augmented Generation (RAG)
• Skill 4 – Vector search, embeddings, and indexing
• Skill 5 – AI/ML pipeline design and data ingestion
• Skill 6 – Prompt engineering and structured LLM outputs
• Skill 7 – API orchestration and backend system integration
• Skill 8 – Enterprise Data & AI architecture
Domain Experience (If any) – Enterprise Data & AI solutions supporting sales, marketing, product research, and related business use cases
Role Overview
This engagement focuses on designing enterprise-grade Data and AI systems supporting sales, marketing, product research, and other use cases for NACG. The role will work closely with cross-functional teams and business stakeholders to translate functional requirements into scalable Data and AI solutions aligned with long-term production and architecture standards.
Key Responsibilities
Review functional documents and translate business needs into Data and AI requirements.
Ensure requirements and proposed solutions are consistent with long-term production and architecture guidelines.
Coordinate and collaborate with cross-functional teams and business stakeholders on feature development and prioritization.
Design and document scalable AI/ML pipelines to:
Ingest and process data.
Integrate with orchestration APIs and backend systems.
Design agent-based workflows and automation systems.
Design and develop LLM-enabled applications, including:
Prompt engineering
Structured outputs
LLM application workflows
Design and implement retrieval-based AI systems, including:
Retrieval-Augmented Generation (RAG)
Vector search
Embeddings
Indexing
Key Technical Skills
AI/ML Architecture & Pipelines
Generative AI / LLMs
Agentic AI / Agent-Based Workflows
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Search & Vector Databases
Embeddings & Indexing
Data Ingestion & Integration
API & Backend System Integration
AI Workflow Orchestration
Enterprise Architecture
Cross-functional Stakeholder Management