Principal Agentic Ai Architect

Tata Consultancy Services

Irving (TX)

On-site

USD 120,000 - 150,000

Full time

4 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Tata Consultancy Services Limited in Irving, TX seeks a Technical Architect to lead the design and engineering of a next-generation Agentic AI Harness for banking, enabling 50+ enterprise AI use cases. You will evolve the agent framework to be scalable, extensible, and enterprise-grade, aligning with future business needs.

You will define end-to-end architecture including orchestration, tool integration, memory/context management, document intelligence, and governance, while guiding teams and

Qualifications

  • 12+ years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.
  • Proven experience architecting and delivering large-scale AI solutions in enterprise environments.
  • Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.

Responsibilities

  • Lead the architecture, design, and engineering of a next-generation Agentic AI Harness for Banking capable of supporting 50+ enterprise AI use cases.
  • Evolve the existing agent framework into a scalable, extensible, and enterprise-grade agentic platform.
  • Define and own the end-to-end architecture covering orchestration, tool integration, memory management, context management, document intelligence, observability, security, and governance.
  • Provide technical leadership and hands‑on engineering guidance across all components of the Agentic AI platform.
  • Design reusable services, frameworks, and platform capabilities to accelerate onboarding of new AI use cases and business domains.
  • Establish architectural standards, reference patterns, engineering best practices, and platform roadmaps.
  • Collaborate with C-Suite leadership, enterprise architects, AI engineers, and business stakeholders to drive platform adoption and innovation.
  • Evaluate emerging Agentic AI technologies and frameworks, recommending strategic enhancements.

Skills

Architectural design
Agentic AI systems
Cross-functional leadership
Stakeholder management
Cloud-native architectures
RAG
Platform governance

Education

Bachelor of Computer Science

Tools

Google ADK
LangGraph
LangChain
Semantic Kernel
CrewAI
AutoGen

Job description

Must Have Technical/Functional Skills


  • 12+ years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.

  • Proven experience architecting and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.

  • Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.

  • Hands‑on expertise building AI applications using frameworks and platforms such as Google ADK, LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar agentic frameworks.

  • Strong experience designing scalable orchestration layers, tool libraries, context management frameworks, observability solutions, and governance controls for AI systems.

  • Expertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge systems, and document intelligence platforms.

  • Experience designing extensible and reusable AI platform architectures capable of supporting multiple business use cases and domains.

  • Strong software engineering background in cloud-native architectures, distributed systems, APIs, microservices, and platform engineering.

  • Deep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.

  • Exceptional communication and stakeholder management skills with the ability to influence senior technology leaders and architects.


Roles & Responsibilities


  • Lead the architecture, design, and engineering of a next-generation Agentic AI Harness for Banking capable of supporting 50+ enterprise AI use cases.

  • Evolve the existing agent framework into a scalable, extensible, and enterprise-grade agentic platform aligned with future business needs.

  • Define and own the end-to-end architecture covering orchestration, tool integration, memory management, context management, document intelligence, observability, security, and governance.

  • Provide technical leadership and hands‑on engineering guidance across all components of the Agentic AI platform.

  • Design reusable services, frameworks, and platform capabilities to accelerate onboarding of new AI use cases and business domains.

  • Establish architectural standards, reference patterns, engineering best practices, and platform roadmaps.

  • Collaborate with C‑Suite leadership, enterprise architects, AI engineers, and business stakeholders to drive platform adoption and innovation.

  • Evaluate emerging Agentic AI technologies, frameworks, and industry trends, recommending strategic enhancements to the platform.

  • Architect and optimize core platform components including:


    • Agent Orchestration Layer

    • Tool Library Frameworks

    • Context & Memory Management

    • Document Intelligence Layer

    • AI Observability & Monitoring Frameworks

    • Governance & Responsible AI Controls


  • Mentor engineering teams and serve as a thought leader for ent erprise Agentic AI strategy and platform evolution.

  • Provide clear portfolio reporting on delivery, financial position, risks, resource constraints, outcomes, and required actions.

  • Coordinate across program, finance, technology, business, risk, control, and vendor teams to validate data and resolve issues.

  • Drive initiative prioritization and trade‑off recommendations based on strategic value, funding, capacity, risk, and readiness.

  • Standardize portfolio practices and prepare concise executive dashboards, presentations, and briefing materials.


Salary Range: $120,000 to $150,000 per year


Location

Irving, TX


Function

TECHNOLOGY


Role

Technical Architect


ID

433524


Skills

Artificial Intelligence


Salary Range

$120,000 - $150,000


Desired Candidate Profile

Qualifications


BACHELOR OF COMPUTER SCIENCE

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Principal Agentic AI Architect
Principal Agentic AI Architect

Tata Consultancy Services • Irving (TX)

On-site
USD 120,000 - 150,000
Senior Principal Architect Agentic AI & Digital Platforms
Senior Principal Architect Agentic AI & Digital Platforms

HDJ & Associates, Inc. • Texas

On-site
USD 180,000 - 240,000
Solution Architect - Agentic AI & Data - BFSI Industry
Solution Architect - Agentic AI & Data - BFSI Industry

Tata Consultancy Services • Edison (NJ)

On-site
USD 156,000 - 247,000
AI Architect
AI Architect

Tata Consultancy Services • Plano (TX)

On-site
USD 100,000 - 160,000
Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Support: Maternal & Parental Le
+8
Senior Cloud Data & Ai Architect
Senior Cloud Data & Ai Architect

Tata Consultancy Services • Dallas (TX)

On-site
USD 150,000 - 175,000
Sr/Distinguished Architect, AI Systems & Agentic AI
Sr/Distinguished Architect, AI Systems & Agentic AI

Burtch Works • United States

Remote
USD 180,000 - 260,000
Agentic AI Architect
Agentic AI Architect

Apt • United States

On-site
USD 120,000 - 180,000
Full time
Full time

HDJ & Associates • Dallas (TX)

On-site
USD 180,000 - 270,000
AI Architect
AI Architect

LeadStack • Blue Ash (OH)

On-site
USD 124,000 - 131,000
Ai Solution Architect
Ai Solution Architect

Tata Consultancy Services • Culver City (CA)

On-site
USD 180,000 - 220,000