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Job Description & Summary: We are seeking a passionate and skilled Agile AI Delivery with 15–20
years of Functional Integration & GCC Advisory, Execution &
End-to-End Delivery Management, Proposal
Development & Strategic Solutioning. IN_ Director_Gen AI_Agentic
Automation_GCC_Advisory_Bangalore
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Job Position Title:
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IN_ Director_Gen AI_Agentic
Automation_GCC_Advisory_Bangalore
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Responsibilities:
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Proposal
Development & Strategic Solutioning
- Lead
the end-to-end RFP and proposal lifecycle, creating compelling
narratives that link Agentic AI capabilities to tangible business
outcomes.
- Conduct
discovery workshops with C-suite stakeholders to identify high-value AI
opportunities.
- Translate
complex business requirements into robust technical architectures for AI
agents, including orchestration layers and tool-integration frameworks.
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Execution & End-to-End Delivery Management
- Project
Governance: Act as the primary lead for large-scale AI implementations,
overseeing project health, risk mitigation, and stakeholder alignment.
- Agile
AI Delivery: Adapt traditional project management methodologies
(Agile/Scrum) to the unique, iterative nature of AI development,
ensuring rapid prototyping and steady deployment cycles.
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Mandatory skill sets:
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- Resource
Orchestration: Manage cross-functional squads comprising data
scientists, AI engineers, and functional consultants to ensure seamless
delivery.
- Quality
& Performance: Define and track KPIs for "Agentic
Success," ensuring solutions meet accuracy, latency, and
reliability benchmarks.
- Functional Integration & GCC
Advisory
- Oversee
the deployment of Agentic AI across core functional areas: Finance, HR,
Customer, and IT Operations.
- Partner
with Global Capability Centers (GCCs) to transition from traditional
process outsourcing to AI-driven "Agentic Centers of
Excellence."
Advise GCC leadership on the operational changes and delivery
frameworks required to manage autonomous AI workforces at scale.
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Preferred skill sets:
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- Experience
with tool-using agents, memory-augmented architectures, or cognitive
architectures.
- Prior
contributions to open-source GenAI or agent frameworks.
- Familiarity
with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services.
- Background
in optimization, evaluation, and prompt engineering for LLM systems.
- Experience
in deploying AI systems in production environments and maintaining
performance at scale
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Years of experience required:
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15 to 20
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Education qualification:
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•
BE/B.TECH/MCA or equivalent
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