Software Jobs in Gurgaon, India (Now Hiring) — 340 open — Page 15

About Us

SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone.

SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work.

Join us to shape the future of digital payment in India and unlock your full potential.

What’s in it for YOU

1. SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees
2. Admirable work deserves to be rewarded! We have a well curated bouquet of rewards and recognition program for the employees
3. Dynamic, Inclusive and Diverse team culture 
4. Gender Neutral Policy
5. Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits
6. Commitment to overall development of an employee through comprehensive learning & development framework

Role Purpose 

Provide strategic and operational leadership for the AI Centre of Excellence, institutionalizing AI across the enterprise. The role ensures business‑aligned AI portfolios, scalable platforms, and reliable service delivery, while embedding responsible AI, regulatory compliance, and governance to enable sustainable, enterprise‑wide AI adoption.

Role Accountability 

1. Enterprise AI COE Leadership 
   • Head the AI Centre of Excellence, covering traditional AI/ML, GenAI, Agentic AI, LLM platforms, and Robotics/RPA across SBI Card. 
   • Own end‑to‑end enterprise AI institutionalization, moving AI from experimentation to governed, production‑grade adoption.
2. AI Policy, Governance & Responsible AI Enablement
3. GENIE Platform – GenAI & Agentic AI
   • Own and evolve GENIE, SBI Card’s enterprise GenAI enablement platform, including LLM orchestration, RAG pipelines, prompt management, and agentic workflows.
   • Lead deployment and scaling of on‑prem LLM stacks, embedding models, vector databases, and orchestration frameworks for regulated environments. Ensure GENIE enables both internal productivity use cases and customer‑facing AI capabilities, with controlled concurrency and risk‑based rollout. Operationalize the SBI Card AI Policy and AIU SOP, ensuring AI adoption adheres to RBI FREE‑AI principles and internal governance standards.
   • Embed Responsible AI by design through guardrails, risk tiering, approvals, AI inventory, disclosures, and audit readiness.
   • Enable and support AI governance forums (AI Council, AI GC, RAI QC, RAI Audit) with transparent reporting and controls. 
4. AI Guardrails, Model Lifecycle & Controls
   • Establish pre‑ and post‑deployment guardrails for GenAI and Agentic AI. .
   • Ensure all AI systems maintain auditability, explainability, and traceability aligned with policy and regulatory expectations. 
5. AI Portfolio & Business Alignment
   • Partner with business, operations, risk, credit, finance, and functional leaders to identify, prioritize, and govern AI and automation use cases.
   • Act as the single point of accountability for enterprise AI demand intake, portfolio prioritization, and value realization.
   • Ensure AI initiatives are business‑led, outcome‑oriented, and aligned to enterprise risk appetite. 
6. Digital Conversational & Customer AI Platforms
   • Lead solutioning, process design, and technical architecture for customer conversational channels (Chatbot, WhatsApp, Live Chat) using GenAI and traditional AI.
   • Ensure innovation on digital channels is additive and non‑disruptive, preserving existing business features while introducing AI‑led capabilities. Track industry and technology trends and introduce enterprise‑ready innovations into customer journeys.
7. AI Platform, Infrastructure & Transformation
   • Own AI platform architecture, tooling, and infrastructure, including GPU‑based compute, model serving, observability, and integration with enterprise systems. 
   • Drive AI‑led process transformation to reduce time‑to‑market and optimize total cost of ownership. 
   • Collaborate on AI infrastructure planning, RFPs, and capacity expansion aligned to future GenAI and Agentic workloads. 
8. RPA Platform & Automation COE
   • Lead the RPA vertical and COE, covering opportunity assessment, automation design, deployment, and post‑production support. 
   • Ensure uptime, SLA adherence, benefits realization, and operational stability of platforms such as UiPath and NICE.
   • Drive continuous automation across business processes to improve efficiency and reduce cost.

Measures of Success 

1. Delivery of key AI and automation programs: Successful delivery of prioritized AI, GenAI, Agentic AI, and automation programs (including GENIE) as per approved roadmap, scope, quality standards, and timelines.
2. First‑time‑right production delivery: AI and automation solutions are deployed into production with minimal rework, meeting functional, security, governance, and Responsible AI requirements at first release.
3. Production availability and stability of AI platforms: High availability and stable operations of customer‑facing AI channels (Chatbot, WhatsApp, Live Chat) and enterprise AI/RPA platforms, meeting agreed SLAs.
4. Governed and compliant AI adoption: All AI use cases adhere to SBI Card AI Policy, guardrails, and lifecycle controls, with no material production incidents related to policy, regulatory, or customer impact.
5. Team capability, motivation, and performance: High team engagement and performance, reflected through skill development in AI/GenAI, delivery ownership, retention, and consistent achievement of agreed objectives.

Technical Skills / Experience / Certifications

1. Enterprise AI & GenAI Platforms: Strong understanding of traditional AI/ML, GenAI, LLMs, RAG, and agentic AI architectures, with experience in scaling enterprise AI platforms in regulated environments.
2. AI Governance & Responsible AI: Knowledge of AI policy implementation, Responsible AI guardrails, risk tiering, human‑in‑the‑loop controls, AI inventory, auditability, and regulatory alignment (e.g., RBI FREE‑AI).
3. AI Platform, Infrastructure & LLM Ops: Familiarity with on‑prem and hybrid AI infrastructure, GPU‑based compute, model serving, observability, security controls, and ML Ops/LLM Ops practices.
4. Conversational AI & Digital Channels: Experience with AI‑enabled customer channels such as Chatbot, WhatsApp, and Live Chat, including conversational design and safe deployment of AI in customer journeys.
5. RPA & Automation Platforms: Strong understanding of RPA platforms, process automation design, orchestration, benefits realization, and production support.
6. Service Delivery & IT Operations: Working knowledge of ITIL processes, SLA management, high availability, incident/problem/change management for AI and automation platforms.

Competencies critical to the role

1. Communication & Executive Presence: Strong written and verbal communication skills, with the ability to present complex AI, technology, and risk topics clearly to senior management, committees, and board‑level forums.
2. Analytical Thinking & Problem Solving: Strong analytical and problem‑solving skills; evaluate information objectively, anticipate risks and constraints, and develops pragmatic, well‑reasoned solutions in complex environments.
3. Enterprise AI & Platform Leadership: Demonstrated capability in managing enterprise AI, GenAI, Agentic AI, and RPA platforms, including governed deployment, operational stability, and integration with business processes.
4. People & Team Leadership: Proven ability to lead and manage mid to large‑sized teams, including internal staff and     partner resources, driving performance, capability development, and team motivation.
5. Program & Delivery Management: Strong experience in leading mid to large‑scale technology and digital transformation programs, managing cross‑functional teams and vendor partners to deliver quality outcomes on time and within budget.
6. Customer & Business Orientation:  Demonstrated customer focus, ensuring AI and automation solutions enhance customer experience while preserving trust, reliability, and business continuity.
7. Domain & Solutioning Capability: Strong understanding of the credit card business domain, with the ability to translate business needs into AI‑, GenAI‑, and automation‑based technology solutions.
8. Stakeholder Management & Collaboration: Ability to manage senior business and IT stakeholders through structured reviews, transparent communication, and collaborative decision‑making, while leading complex, multi‑stakeholder deliveries.

Qualification 

Graduate/Post Graduate in Computer Science/Electronics

Preferred Industry

BFSI