**Level- AD** **Experience- 15 to 18 years** **Location- Chennai/bengaluru/pune or any cognizant location** **Artificial Automation AD for India** **Implementation, to train new folks** **Job Description: AI Automation Solution Architect/Lead** **Job Title: AI Automation Solution Architect/Lead (with Infrastructure Background)** **Location: India cognizant location/ Hybrid]** **About the Role:** We are seeking a highly experienced and visionary AI Automation Solution Architect/Lead with a strong background in infrastructure to join our dynamic team. In this pivotal role, you will be responsible for designing, leading, and implementing cutting-edge AI-driven automation solutions that optimize our infrastructure, operations, and business processes. You will bridge the gap between AI/ML capabilities and robust, scalable infrastructure, ensuring our automation initiatives are not only intelligent but also resilient, secure, and performant. The ideal candidate will possess a deep understanding of both AI/ML technologies and enterprise-grade IT infrastructure, including cloud platforms, networking, data centers, and security. You will be a strategic thinker, a hands-on architect, and a collaborative leader capable of guiding cross-functional teams from concept to deployment. **Key Responsibilities:** + **Solution Design & Architecture:** + Lead the end-to-end design and architecture of AI-powered automation solutions, focusing on infrastructure automation, AIOps, develop agents and agentic solutions, intelligent process automation, and self-healing systems. + Define technical roadmaps, blueprints, and reference architectures for AI automation initiatives, ensuring alignment with overall enterprise architecture and business objectives. + Evaluate and select appropriate AI/ML models, tools, platforms (e.g., MLOps platforms, intelligent automation suites), and infrastructure technologies (cloud, on-prem, hybrid) to meet solution requirements. + Design scalable, resilient, secure, and cost-effective infrastructure to support AI/ML model training, deployment, inference, and lifecycle management. + **Technical Leadership & Guidance:** + Provide technical leadership and mentorship to development, MLOps, and infrastructure teams on best practices for AI automation, infrastructure as code, and cloud-native architectures. + Drive the adoption of modern engineering practices, including CI/CD for AI/ML pipelines, automated testing, and continuous monitoring of AI automation solutions. + Act as a subject matter expert, advising stakeholders on the feasibility, benefits, and risks of AI automation technologies. + **Strategy & Innovation:** + Identify opportunities for leveraging AI and automation to improve operational efficiency, reduce costs, enhance security, and drive innovation across IT infrastructure and business functions. + Stay abreast of emerging AI/ML, automation, and infrastructure technologies, evaluating their potential impact and recommending strategic adoption. + Contribute to the development of organizational standards, policies, and governance frameworks for AI automation. + **Stakeholder Collaboration:** + Collaborate closely with infrastructure teams to translate needs into technical solutions. + Present complex technical concepts and solutions clearly to both technical and non-technical audiences. + Manage vendor relationships and evaluate third-party tools and services related to AI and automation. **Qualifications:** **Required:** + Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. + 18+ years of experience in IT, with at least 5 years in a solution architecture or lead role focused on automation, infrastructure, or cloud. + Proven experience in designing and implementing AI/ML solutions, particularly in the context of IT operations, infrastructure management, or business process automation. + Deep understanding of cloud platforms (AWS, GCP) including IaaS, PaaS, and serverless architectures, with hands-on experience in at least one major cloud provider. + Strong knowledge of infrastructure components (compute, storage, networking, security) and concepts (virtualization, containers, Kubernetes, microservices). + Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, CloudFormation). + Proficiency in programming languages commonly used in AI/ML and automation (e.g., Python, Java, Go). + Familiarity with MLOps principles and tools for managing the AI/ML lifecycle (e.g., MLflow, Kubeflow, Sagemaker, Azure ML). + Excellent communication, presentation, and interpersonal skills. **Preferred:** + Experience with specific AI automation platforms (e.g.ServiceNow AIOps, ITSI). + Certifications in cloud architecture (e.g., Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect).. + Understanding of ITIL, DevOps, and Agile methodologies. + Experience with enterprise-level security practices and compliance frameworks. **Skills:** + **Technical:** AI/ML (various models, frameworks), Cloud Architecture (AWS, Azure, GCP), Infrastructure as Code (Terraform, Ansible), Containerization (Docker, Kubernetes), Networking, Security, Data Engineering, MLOps, Python, Java, Go, API Design. + **Architectural:** Solution Design, Enterprise Architecture, Scalability, Resilience, Performance Optimization, Security Architecture, Cost Optimization. + **Soft Skills:** Leadership, Strategic Thinking, Problem-Solving, Communication (written and verbal), Collaboration, Mentorship, Innovation, Adaptability. **What We Offer:** + Opportunity to work on cutting-edge AI and automation technologies. + A collaborative and innovative work environment. + Competitive salary and benefits package. + Professional development and growth opportunities. + The chance to make a significant impact on the company's operational efficiency and strategic direction. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.