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Solution Architect - Argentic AI

Solution Architect - Argentic AI

ClifyXJersey City, NJ, United States
4 days ago
Job type
  • Full-time
Job description

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.
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    Solution Architect • Jersey City, NJ, United States