Position Details: Solution Architect - Argentic AI

Role: Solution Architect - Agentic AI

Location: NJ, GA, IL or VA  

Job Description:

The Agentic AI Architect is a senior-level, client-facing role within TCS’s AI & Data business unit in the Americas. This position is responsible for designing next-generation AI solutions that leverage autonomous, agentic AI systems—AI that can make decisions, take actions, and adapt independently. The architect will lead the design and delivery of scalable, ethical, and industry-specific AI architectures across sectors such as BFSI, Manufacturing, Life Sciences, Telecom, Retail, and more.

Key Responsibilities:

•AI Architecture Design: Define end-to-end architectures for AI systems incorporating autonomous agents and LLM-based components.

•Client Engagement: Conduct workshops and consulting sessions to translate business needs into AI architecture blueprints.

•Multi-Agent Orchestration: Design frameworks for multi-agent systems, including agent roles, coordination protocols, and fail-safes.

•Enterprise Integration: Plan secure, scalable integration with enterprise systems (e.g., ERP, IoT, core banking).

•Prompt Engineering & RAG: Implement advanced prompt engineering and retrieval-augmented generation strategies.

•Technical Leadership: Guide engineering teams through prototyping and delivery, ensuring architectural integrity.

•Industry-Specific Customization: Tailor AI solutions to meet compliance, personalization, or privacy needs across industries.

•Emerging Tech Evaluation: Continuously assess and integrate new AI tools, frameworks, and methodologies.

•Ethical AI Design: Embed responsible AI principles (e.g., transparency, fairness, security) into system architecture.

•Client-Facing Delivery: Present architectural proposals, lead discovery sessions, and support critical deployment phases.

Qualifications: 

•8+ years of experience in AI/ML solution architecture in enterprise environments.

•Strong knowledge of Generative AI, LLMs, and agentic AI frameworks (e.g., LangChain, Semantic Kernel).

•Proficiency in prompt engineering and retrieval-augmented generation (RAG).

•Experience with multi-agent system design and orchestration.

•Deep understanding of cloud platforms (AWS, Azure, GCP) and distributed systems.

•Familiarity with AI/ML frameworks (OpenAI, Hugging Face, TensorFlow, PyTorch).

•Strong grasp of data architecture, vector databases (e.g., Pinecone, FAISS), and semantic search.

•Proficiency in Python and at least one general-purpose language (Java, C#, Node.js).

•Experience with API design, microservices, and enterprise integration patterns.

•Knowledge of DevOps/MLOps tools and practices.

•Understanding of responsible AI principles (e.g., SAFTI, fairness, transparency).

•Strong client-facing skills and ability to lead workshops and explain AI concepts to non-technical stakeholders.

•Proven ability to lead cross-functional teams and mentor junior engineers.

•Demonstrated commitment to continuous learning and staying current with AI trends.

Salary Range: $158,950 - $215,050 a year

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