Ai Solution Architect

**Job Role: AI Solution Architect**

**Experience: 10+ years**

**Location: Bangalore, India**

**Employment Type: Full Time, Hybrid.**

**About Cognizant**

Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.

**About CAIL**:
**Cognizant Advanced AI Lab / Neuro AI team**

We specialize in delivering tailored AI-driven solutions that enable organizations to solve complex challenges, improve efficiency, and unlock new growth opportunities.

We are seeking an innovative and highly skilled Solution Architect with expertise in both Generative AI and Agentic AI technologies to lead the design and implementation of transformative AI-powered business processes.

This intelligent business knows what is happening and why it is happening and prescribes the best decisions to make. Now, Cognizant uses Generative AI and Evolutionary AI to model every aspect of a business to solve for multi-objective outcomes in even the most complex conditions in a tool called NeuroAI.

**Your role**:
As a Solution Architect specializing in Generative AI and Agentic AI technologies, you will be responsible for designing and implementing intelligent, autonomous systems that revolutionize business process flow across various industries. You will harness the power of AI technologies like Machine Learning Models, LLMs and Multi-Agent Systems to help clients automate, optimize, and streamline business operations. Your role will involve architecting and leading the development of advanced AI solutions that drive significant process improvements, efficiency gains, and business innovation for our clients.

You will also be a strategic advisor to clients, guiding them through the integration of these technologies into their operations to unlock new possibilities in areas such as customer experience, supply chain optimization, finance, HR, and beyond.

You’re a highly motivated and experienced Machine Learning Solution Architect responsible for designing, implementing and demonstrating NeuroAI solutions for our clients, providing user training, and collaborating with cross-functional teams to improve the NeuroAI offering. You’re articulate, love client-facing interaction, and you’re comfortable traveling and responding to RFPs as well as writing statements of work (SOWs).

**Key responsibilities/What you**
- Architect end-to-end Generative AI and Agentic AI solutions for clients, creating intelligent systems that autonomously manage business processes across verticals such as manufacturing, healthcare, finance, retail, logistics, and more.
- Leverage machine learning models, LLMs and agent-based AI technologies
- Leverage generative models (e.g., GPT, BERT, DALL-E) and agent-based AI technologies to automate and optimize complex workflows, enabling clients to realize tangible benefits like improved productivity, reduced costs, and better decision-making.
- Collaborate with sales and business development teams to support pre-sales activities, including presentations and demonstrations.
- Work with cross-functional teams (engineering, data science, business analysis, product management) to ensure seamless deployment of AI solutions at scale, maintaining scalability, reliability, and performance.
- Architect solutions that combine generative AI and agentic agents to deliver end-to-end automation, such as intelligent document processing, predictive maintenance, personalized marketing, autonomous decision-making, and more.
- Ensure that AI solutions are aligned with industry best practices, business objectives, and the client's long-term strategy for digital transformation.
- Support clients through the full lifecycle of AI adoption, from concept to deployment and continuous optimization.
- Drive workshops and training sessions to build internal capabilities, ensuring clients are well-equipped to operate and maintain AI systems independently.
- Stay at the cutting edge of emerging AI technologies, including developments in agent-based systems, multi-agent systems, autonomous decision-making, and generative models.
- Provide mentorship and guidance to junior architects and developers, promoting a culture of innovation, continuous learning, and excellence within the team.
- Provide user training on NeuroAI both in-person and remotely.
- Respond to RFPs and write statements of work (SOWs) for machine learning projects
- Stay up-to-date with hyperscalers and the latest trends and technologies in machine learning and data science.

**Your profile**:

- Master’s degree or Ph.D. in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in AI architecture and machine learning technologies, with a focus on 2+ years of experience in generative AI and agentic AI.
- Strong expertise in AI models and frameworks, including large language models, r