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National Lead AI Unit
Job Location:
Monthly Salary:
Posted:
24 July 2026 (30+ days ago)
Posted:
Application Deadline:
21 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
| Job Purpose | We are seeking a seasoned leader to drive Agentic AI adoption across the B2C EMI Card and Payments verticals. This senior role will lead domain strategy solution design and delivery of agentic AI use cases. The role requires strong orchestration leadership and close coordination with the Agentic AI tech team to ensure high quality domain grounded autonomous agent solutions |
| Duties and Responsibilities | Lead the end-to-end domain design and delivery of Agentic AI use cases across B2C EMI Card and Payments verticals. Translate business goals into domain reasoning frameworks and orchestration logic. Define and supervise thought logging reasoning trace standards and interpretability guidelines. Collaborate with tech teams to architect modular reasoning systems and multi-agent workflows. Oversee project management ensuring timely delivery and alignment with business OKRs. Build and maintain domain knowledge bases taxonomies rule engines and planning structures. Define orchestration rules fallback strategies escalation logic and reliability guardrails. Partner with cross-functional teams to ensure safe compliant domain-grounded agent behavior. Drive continuous improvement via evaluation cycles feedback loops and refinements. Identify and prioritize new Agentic AI opportunities across assigned verticals |
| Key Decisions / Dimensions | Selection of reasoning strategies orchestration patterns and collaboration models. Determining logging granularity cognitive checkpoints and interpretability levels. Approval of fallback behaviors and escalation rules. Prioritization of vertical wise agentic AI initiatives. Definition of domain specific evaluation and benchmarking criteria. |
| Major Challenges | Domain-Grounded Reasoning Design Translating implicit expert reasoning into explicit machine-executable decision frameworks. Managing uncertainty ambiguity and contradictory signals in domain data without oversimplifying. Interpretability Logging and Observability Designing logging schemas that support post-hoc reasoning audits without creating overhead or data bloat. Balancing performance with observability especially in production settings. Strategic Autonomy vs Control Deciding when agents should self-direct vs. escalate decisions to humans. Embedding guardrails that are both domain-relevant and adaptive under evolving agent capabilities. Feedback Loop Complexity Designing multi-layered feedback systems: self-reflection user feedback domain overrides model fine-tuning. Managing feedback prioritization: what gets logged analyzed and appliedand what gets ignored |
| Required Qualifications and Experience | 810 years of experience in AI / Agentic AI. Understanding of Microsoft Co pilot and Agentforce ecosystem. Experience with orchestration-heavy domain-driven AI system design. Knowledge of LLM architectures agent planning frameworks and reasoning traces. Strong stakeholder communication and project leadership skills. |
Required Experience:
Unclear Seniority
About Company
Bajaj Finserv is India’s most diversified non-banking finance company. Visit the website to learn about our products. Get instant approval on loans, shop on EMIs, make an investment, get insurance and pay your bills.
