Tata Consultancy Services · 19 hours ago
Solution Architect - Agentic AI
Philadelphia, PA
Full-time
Hybrid
Senior Level
$159K/yr - $215K/yrTata Consultancy Services is a leading global IT services, consulting, and business solutions organization, and they are seeking an Agentic AI Architect. The role involves designing next-generation AI solutions, leading AI architecture design, and ensuring ethical AI considerations while engaging with clients across various industries.
Business Information SystemsConsultingInformation TechnologyIT Management
Responsibilities
Lead AI Architecture Design: Define end-to-end architecture for AI systems incorporating autonomous agents and LLM-based components, ensuring alignment with business goals
Client Workshops & Strategy: Conduct workshops to understand business requirements and identify opportunities for agentic AI, translating business problems into AI architecture blueprints
Multi-Agent Framework Orchestration: Design frameworks for multi-agent systems, defining roles and ensuring robust communication and fail-safes
Integration & Scalability: Outline integration with existing enterprise ecosystems, ensuring scalability and resilience
Leverage Prompt Engineering & RAG: Incorporate advanced prompt engineering techniques and retrieval-augmented generation (RAG) into solution design
Technical Leadership in Delivery: Guide engineering teams through prototyping and solution delivery, troubleshooting high-level architectural issues
Industry-Tailored Solutions: Customize architectural decisions to industry-specific requirements, balancing reusability with necessary adaptations
Emerging Tech Evaluation: Continuously evaluate new tools and methodologies, integrating them into architecture standards
Client Engagement & Travel: Work closely with client technology leaders, presenting architectural proposals and reviewing technical designs, with travel as required
Ethical & Safe Design: Ensure ethical AI and safety considerations are embedded from the architecture stage, documenting and mitigating potential risks
Qualification
Required
BACHELOR OF COMPUTER SCIENCE
Extensive experience in designing and architecting AI or machine learning solutions in an enterprise context
Strong understanding of machine learning and AI techniques, especially Generative AI and large language models
Knowledge of multi-agent system patterns and frameworks
Ability to craft effective prompts and chaining strategies for LLMs, familiar with retrieval-augmented generation methods
Strong grasp of AI ethics and safety principles, able to identify ethical risks and design mitigations
Deep understanding of cloud architecture and distributed system design
Solid understanding of data architecture as it relates to AI, including data pipelines, databases, and data lakes
Excellent communication and stakeholder management skills, capable of leading discussions with C-level executives and technical brainstorming with engineers
Prior consulting or client-facing experience, adept at requirement gathering and crafting proposals
Creative mindset to devise innovative solutions leveraging AI agents, strong problem-solving skills
Demonstrated habit of continuous learning, staying updated via research papers, conferences, or hands-on experimentation
Preferred
Familiarity with major AI/ML frameworks and services, including OpenAI GPT models, Google PaLM/Vertex AI, and Hugging Face Transformers library
Experience with leading SaaS AI & Data platforms in terms of agentic AI development, implementation, orchestration, AI guardrails
Exposure to frameworks and libraries for building AI agents and chains, such as LangChain, Microsoft's Semantic Kernel
Strong knowledge of search and retrieval technologies, including vector databases and semantic search
Expertise in cloud ecosystems (AWS, Azure, GCP), including cloud AI services, serverless computing, containerization, and related DevOps tools
Proficiency in programming languages commonly used for AI and integration, primarily Python and at least one general-purpose language
Knowledge of modern data platforms, including relational databases, NoSQL stores, and data processing frameworks
Experience designing and using APIs and middleware, knowledge of event-driven architectures and message brokers
Familiar with CI/CD pipelines and infrastructure as code, understanding of MLOps principles and tools
Comfort with technologies for securing AI applications, including identity and access management, encryption, and compliance tools
Proficient with tools used in architecture and design documentation, including UML design tools and agile project management tools
Awareness of emerging tech such as knowledge graphs and reinforcement learning frameworks
Company
Tata Consultancy Services
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting.
Founded in 1968
10001+ employees
H1B Sponsorship
Tata Consultancy Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2025 (7880)
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2023 (8537)
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2020 (11984)
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-08-25IPO
Leadership Team
K. Krithivasan
Chief Executive Officer & Managing Director
Aarthi Subramanian
President and Chief Operating Officer
Recent News
Business Standard India
2026-01-09
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