Senior Manager – Agentic AI

Jobtailor

Bengaluru

On-site

INR 4,000,000 - 8,000,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru seeks a Senior AI Architect to lead enterprise AI strategy and architecture for Banking clients. You will translate executive priorities into scalable AI roadmaps, drive adoption of autonomous agents and GenAI platforms, and partner with senior stakeholders to deliver high-value use cases.

The role requires 15+ years in AI, 7+ years in banking transformation, and strong leadership with governance and compliance expertise. Azure GenAI skills and certifications are preferred.

Qualifications

15+ years of experience in AI, Generative AI, Agentic AI, and enterprise analytics.
7+ years leading AI transformation programs in Banking.
Proven AI leader with program delivery, governance, and stakeholder engagement.
Advanced certifications in Azure AI, GenAI, ML, solution architecture, or Responsible AI preferred.

Responsibilities

Lead enterprise AI strategy, architecture, and implementation for Banking clients.
Translate executive priorities into scalable AI architectures and roadmaps.
Drive adoption of autonomous agents, multi-agent systems, and GenAI platforms.
Partner with senior stakeholders to identify and deliver high-value AI use cases.
Own design authority for LLM-powered apps, AI security, and governance.
Develop Agentic AI and GenAI solutions for customer servicing, risk, compliance, and operations.

Skills

AI Architecture

Generative AI

Responsible AI

Azure AI

Banking Industry Experience

Client Engagement

Mentoring

Strategy

Education

CS/DS/AI Degree

Tools

Agentic AI

RAG Solutions

Cloud-Native GenAI Platforms

Observability

LLMOps

Job description

Lead enterprise strategy, architecture, and implementation of Agentic AI, Generative AI, Responsible AI, AI Governance, and advanced analytics solutions for Banking clients
Act as a Senior Manager, AI architect, and thought leader with strong business acumen, translating executive priorities and business requirements into scalable AI architectures and transformation roadmaps
Drive adoption of autonomous AI agents, multi-agent systems, agent orchestration frameworks, AI copilots, RAG / Agentic RAG solutions, and cloud-native GenAI platforms across banking processes
Partner with senior client stakeholders, architects, data scientists, AI engineers, product leaders, risk and compliance teams to identify, prioritize, and deliver high-value AI use cases
Own design authority for LLM-powered applications, enterprise AI agents, model evaluation, observability, LLMOps, AI security, Responsible AI controls, AI governance, and production deployment patterns
Develop Agentic AI and GenAI solutions for customer servicing, relationship management, lending, credit risk, fraud detection, KYC/AML, compliance monitoring, wealth advisory, investment research, portfolio intelligence, and operations transformation
Establish AI governance frameworks covering responsible AI principles, model risk management, explainability, fairness, privacy, security, auditability, regulatory compliance, and human-in-the-loop controls
Lead business development activities including client engagements, solution workshops, architecture reviews, proposal creation, RFP responses, executive presentations, and AI transformation roadmaps
Create reusable accelerators, reference architectures, delivery playbooks, and best-practice assets across Azure AI services, Agentic AI frameworks, and enterprise AI platforms
Stay current with advancements in Agentic AI, AI orchestration, LLMs, RAG, model evaluation, AI governance, autonomous workflows, Responsible AI, Azure AI ecosystem, and emerging cloud AI capabilities
Present business outcomes, technical architecture, risk considerations, insights, and recommendations to senior client stakeholders and leadership teams in a clear and impactful manner
Lead and manage multidisciplinary teams of AI architects, GenAI specialists, data scientists, engineers, and consultants, providing strategic direction and delivery oversight
Provide thought leadership on enterprise AI architecture, Agentic AI adoption, Responsible AI, AI Governance, cloud AI modernization, and GenAI operating models for Banking
Mentor and coach managers, junior architects, analysts, and developers, fostering technical excellence, innovation, engineering discipline, and responsible AI delivery practices

Requirements

15+ years of experience in Artificial Intelligence, Generative AI, Agentic AI, Advanced Analytics, AI architecture, and enterprise technology transformation
At least 7+ years of experience leading AI-driven transformation programs within the Banking industry
Proven experience as an AI leader / AI architect, managing large-scale programs, cross-functional teams, solution architecture, client delivery, governance, and executive stakeholder engagement
Extensive experience identifying, designing, and implementing high-value AI use cases across retail banking, commercial banking, investment banking, wealth management, risk, compliance, fraud, operations, and customer experience domains
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field
Advanced certifications in Azure AI, Generative AI, Machine Learning, Solution Architecture, Cloud Technologies, Responsible AI, AI Governance, or Agentic AI platforms are preferred.

Core Competencies

Demonstrates expertise in leading enterprise AI strategy and architecture, with a focus on Generative AI, Responsible AI, and advanced analytics solutions tailored for the Banking sector. Proven ability to drive AI adoption, governance, and transformation while managing multidisciplinary teams and delivering high-value use cases.

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