• Design multi-agent systems to automate business workflows (content, product, growth). • Build and integrate AI agents using LLMs, APIs, and internal tools. • Define workflows, input/output contracts, and system architecture. • Continuously improve agent performance based on real metrics and feedback loops.

Role Description We are seeking a Senior AI Implementation Specialist to lead end-to-end AI client implementations and set delivery standards across the organization. This is a hands-on, client-facing leadership role that combines deep technical execution with project ownership, mentorship, and continuous improvement. The ideal candidate is highly skilled in building and deploying AI automation systems and is equally committed to elevating team performance, improving systems, and driving consistent, high-quality outcomes across multiple client engagements. This role plays a critical part in scaling our AI implementation function with excellence, accountability, and clarity. Technical Execution & Delivery Excellence - Build, deploy, and maintain complex AI automation workflows using n8n, including multi-step integrations and advanced HTTP configurations - Develop front-end tools and interfaces using Lovable and Claude Code - Design, test, and optimize prompts for Claude (Anthropic API) and other LLM integrations - Manage backend integrations involving APIs, JSON structures, and database connections - Troubleshoot, debug, and optimize live production systems - Ensure all implementations meet defined quality, performance, and security standards Project Ownership & Outcome Management - Own delivery timelines across multiple client projects simultaneously - Break complex implementations into clear milestones and execution plans - Proactively identify risks, dependencies, and blockers and resolve them effectively - Maintain accurate project tracking, documentation, and handoff materials - Take accountability for client outcomes, not just task completion Client Leadership & Stakeholder Management - Lead client discussions related to AI implementation strategy and delivery - Translate business needs into scalable and maintainable technical solutions - Set and manage expectations with clarity, confidence, and professionalism - Serve as a trusted technical advisor throughout the client lifecycle - Identify opportunities to enhance or expand client systems beyond the initial scope Team Leadership, Mentorship & Standards Ownership - Act as a technical leader and mentor to junior and mid-level team members - Review implementation work to ensure quality, consistency, and best practices - Support onboarding and ramp-up of new team members - Own, document, and continuously improve SOPs and implementation standards - Model strong ownership, accountability, and clear communication Systems Thinking & Continuous Improvement - Identify recurring implementation issues and design long-term solutions - Improve workflows, documentation, and internal delivery systems - Partner with leadership on implementation strategy and scalability planning - Contribute ideas and frameworks to support sustainable growth of the delivery function Qualifications - Advanced proficiency with n8n workflow automation - Hands-on experience with Claude Code, Lovable, and AI-assisted development tools - Strong prompt engineering skills for LLMs - Backend experience working with APIs, JSON, and integrations - Proven ability to own projects end-to-end and deliver client outcomes - Strong verbal and written communication skills - Experience mentoring or leading team members - High level of ownership, reliability, and accountability Preferred Skills - Experience with Python and/or JavaScript - Familiarity with Supabase or similar databases - CRM and marketing automation experience - Background in fitness, wellness, or franchise-based businesses - Prior experience as a technical lead or senior implementation owner Leadership Level Target - Primary: Level 3 – Competent Manager - Growth Path: Level 4 – Effective Leader Job Type - Full-time Benefits - Work from home

• Design multi-agent systems to automate business workflows (content, product, growth). • Build and integrate AI agents using LLMs, APIs, and internal tools. • Define workflows, input/output contracts, and system architecture. • Continuously improve agent performance based on real metrics and feedback loops.

AI & Automation Engagement Lead (BFSI) REMOTE The Cognizant Automation practice focuses on providing Robotic Process Automation, Smart Data Intake, Analytics, Machine learning, Gen AI and Agentic AI solutions for mission critical business and IT processes to major industries globally. It is one of the fastest growing practices in the company, and a key pillar of our digital offerings. We are seeking an Engagement Lead with experience in leading large-scale AI implementation projects across Banking, Financial Services and Insurance domain to help our clients harness the power of AI and to manage the AI enabled automation delivery for a North America-based customer. This role will be accountable for establishing, sustaining and growing Cognizant’s Automation presence with the customer by ensuring operational and delivery excellence. The EL must also focus on creating value-added long-term partnerships with the client, internal account and market teams. The right candidate for this role must have proven success with hands-on delivery and program management. Experience in leading the design and implementation of global AI driven automation programs with established governance at executive leadership level is a desired skill. They must also understand, appreciate and drive transformation based on business needs, to stay ahead of the competition, as the industry pivots to AI driven Automation. Success begins with delivery excellence and hence one of the primary expectations from this role is to ensure that we first deliver on our commitments, thereby forging strong and trusted partnerships with the client and account teams. This person is expected to leverage their combined industry, delivery and AI driven transformation expertise to lead AI automation opportunity identification, technical feasibility analysis, implement best practices, drive transparency through outcome management, demonstrate intelligent risk management and problem solving to support the client’s needs and solve business challenges through intelligent automation. Goals in this role will include demonstrated delivery excellence, high customer satisfaction scores, meeting margin commitments, opportunities to partner on solutions, expanded presence at the client, referrals, and/or publicly reference-able accounts. Responsibilities: - Lead discovery sessions with clients and partner with the product owners and architects in the client organization to identify and evaluate AI automation opportunities, lead design and drive the right fit automation solution to achieve the expected business outcomes. - Partner with clients in defining their AI strategy roadmap by bringing in the AI practitioner’s experience. - Ensure delivery excellence by embedding best practices, outcome management and delivering on our commitments for both implementation and support. - Establish, sustain or grow the Intelligent Process Automation capability in the assigned accounts. For example, identify opportunities for interconnected solutions, expand existing capabilities to new business areas, etc. - Be a trusted delivery partner and point of contact for the client and Cognizant teams for the automation program/engagement. - Ensure contractual commitments are tracked and implemented with reference to delivery. - Collaborate with extended delivery teams across the globe. Required Skills and Qualifications: - Hands-on experience in leading the implementation of AI enabled business process transformation solutions. - Expertise in assessing client infrastructure, data capabilities and organizational readiness for AI adoption. - Experienced in leading AI automation opportunity identification and evaluation. - Proven experience shaping AI strategy roadmaps for clients and aligning them to business outcomes (growth, efficiency, risk reduction, customer experience), leveraging practitioner insights. - Recommend frameworks for AI governance, responsible AI and define operating models to scale AI within client environments. - Practitioner experience in leading design and implementation of AI automation solutions on either cloud AI services (Azure, AWS, GCP etc.) or full-stack technologies including Python. - Management experience - Experience in leading and executing global automation programs involving Smart Data Intake, ML, Gen AI and Agentic AI solutions, with established governance at exec leadership/steering committee level. - Operational Rigor – Demonstrated success and strength in managing across clients and programs to deliver results. This will combine a strong mindset in program and project management, leveraging data to drive objectives and creating strategic plans to deliver results for today while setting up for continue accelerated growth. - Business Acumen - demonstrated experience in leading automation delivery for Banking, Financial Services and Insurance industry. - Leadership– Ability to lead and manage a high performing team and support growth and development of team members. This individual will be expected to work with his or her team to continue to grow and develop team members to meet the fast-paced demand of the digital and automation space. - Influencing skills - Ability to work with those within other teams to collaborate on optimal solutions and outcomes for clients. This individual will be expected to work with teams within the practice, collaborate with other business units and partner with account teams, while managing client expectations and growth strategies. - Communication – Demonstrated strength in both verbal and written communication. Ability to clearly message across levels of an organization, including a strong executive presence. - Financial acumen - to manage project P&L from an internal standpoint and help guide clients in their investment choices from an externally facing standpoint. - Multi-geo experience and the ability to create effective relationships with offshore teams in a global delivery model. - Exceptional client management skills and experience. - Ability to work collaboratively in a virtual and highly matrixed environment. - Willing to travel to client location as per engagement requirement. Salary and Other Compensation: The salary for this position is between $150,000 - $170,000k depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. CogWW901