Imagine a world where businesses predict market shifts before they happen, anticipate customer needs with precision, make the smartest decisions in real-time, and augment their business processes flow with AI agents. At Cognizant’s Advanced AI Lab , we’re making that a reality with Neuro AI —a next-generation AI platform that models entire businesses processes for automation and real-time decision-making. We’re seeking a Solution Architect with deep expertise in Generative AI and Agentic AI to design and lead the implementation of intelligent systems that automate and optimize business processes. You'll work with technologies like GPT, Gemini, Claude, and autonomous AI agents to help clients streamline operations and gain competitive advantages. You’ll be a strategic advisor guiding clients across industries in applying AI to improve customer experience, supply chains, finance, HR, and more. Responsibilities include solution design, client engagement, training, and collaboration on product roadmaps. We’re looking for someone innovative, articulate, client-focused, and comfortable with travel, RFPs, and SOW writing. Be part of building the intelligent business of the future. Key Responsibilities: Design & Deploy AI Solutions: Lead the architecture and implementation of Generative and Agentic AI systems across industries (e.g., manufacturing, healthcare, finance) to enable autonomous, intelligent business processes. AI-Driven Optimization: Use generative models (GPT, Gemini, Claude, etc.) and agent-based AI to automate complex workflows, improving productivity, decision-making, and operational efficiency. Client Collaboration & Strategy: Partner with stakeholders to identify high-impact AI opportunities, transforming traditional workflows into self-managing, adaptive systems. Solution Delivery & Scalability: Work with cross-functional teams to ensure scalable, reliable, and high-performing AI deployments, from concept to continuous optimization. Enablement & Thought Leadership: Drive client workshops and training, respond to RFPs, write SOWs, and provide mentorship while staying current with emerging AI trends and technologies. Desired Candidate Profile: Education & Experience: Master/PhD with 3+ years or Bachelor with 5+ years of experience architecting ML/AI solutions in diverse domains. Technical Expertise: Proficient in Generative AI, reinforcement learning, multi-agent systems, and decision-making algorithms, with hands-on experience using Python, and modern AI frameworks. Cloud & Tools Proficiency: Skilled in deploying solutions on cloud platforms like AWS, Azure, GCP, Databricks, and Snowflake. Business & Communication Acumen: Strong understanding of business process automation and the ability to translate complex AI concepts for technical and non-technical stakeholders. Problem Solving & Delivery: Proven track record of building scalable, high-performance AI solutions in Agile environments, with attention to detail and ability to work independently. Consulting Readiness: Excellent collaboration and leadership skills, consulting or enterprise experience across multiple industries, and willingness to travel up to 50% for client engagements.
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