Experience: 15 years

Location: Bengaluru — Embassy
Golf Links (EGL) area | Hybrid, 3 days/week in office

We are seeking a seasoned
Enterprise AI Architect to serve as the intellectual engine behind our AI
strategy and architecture communication function. This role translates approved
AI strategy decisions into high -quality written and visual artifacts — architecture
decision records (ADRs), capability frameworks, platform narratives, strategy
decks, and socialization materials — for both internal leadership and external
client audiences.

The role works closely with
senior leadership (directly supporting Amit) in producing content for
stakeholder presentations, leadership briefings, and client -facing collateral.
The ideal candidate combines deep enterprise architecture credibility with exceptional
structured -writing and executive -communication skills.

Key Responsibilities

AI Vision, Strategy &
Architecture Documentation

•     Translate approved AI strategy decisions into durable
written artifacts: Architecture Decision Records (ADRs), AI capability
frameworks, reference architectures, platform narratives, and target -state
blueprints.

•     Develop and maintain the AI architecture repository —
ensuring decisions, rationale, trade -offs, and dependencies are captured with
rigor and traceability.

•     Author strategy decks and socialization materials
tailored to distinct audiences: engineering teams, business unit leadership,
executive committees, and external clients.

Executive &
Stakeholder Content Support

•     Support senior leadership (Amit) in producing content
for stakeholder presentations, leadership briefings, board -level updates, and
client -facing collateral.

•     Convert complex technical concepts (agentic
architectures, LLM platform design, data governance, security postures) into
crisp, decision -oriented narratives.

•     Ensure consistency of messaging, terminology, and
visual identity across all strategy and architecture artifacts.

Architecture Advisory

•     Participate in AI strategy and architecture review
forums; capture decisions and articulate their downstream architectural
implications.

•     Evaluate emerging AI platforms, patterns, and vendor
capabilities; produce point -of -view (PoV) papers and comparative assessments.

•     Provide architectural guardrails and framework inputs
to delivery teams executing AI programs (POCs, pilots, production rollouts).

Required Qualifications
& Experience

•     15 years of overall IT experience, with
significant time in enterprise architecture, solution architecture, or
technology strategy roles.

•     Demonstrated experience in AI/ML or GenAI programs —
platform architecture, LLM integration, cloud AI services (Azure OpenAI, AWS
Bedrock, GCP Vertex, or equivalent).

•     Proven track record producing executive -grade written
artifacts: ADRs, capability models, reference architectures, strategy
documents, and C -suite presentations.

•     Strong command of enterprise architecture frameworks
(TOGAF or equivalent) and modern cloud -native architecture patterns.

•     Exceptional written communication — able to write with
precision, structure, and audience awareness.

•     Advanced proficiency with PowerPoint and document
design; ability to independently produce polished, client -ready decks.

•     Experience working directly with senior executives and
translating their intent into finished artifacts with minimal iteration.

Preferred Qualifications

•     Consulting or advisory background with enterprise
clients (financial services exposure a plus).

•     Familiarity with AI governance, responsible AI
frameworks, data residency, and enterprise security requirements (Entra ID,
in -tenant deployment models, zero data egress patterns).

•     Exposure to agentic AI frameworks (LangGraph, Google
ADK, Copilot Studio, or similar).

•     TOGAF, Azure Solutions Architect, or comparable
certifications.

Success Measures (First
6–12 Months)

•     A fully operational ADR and architecture documentation
practice with consistent templates and cadence.

•     Leadership and client -facing decks produced on time,
requiring minimal senior rework.

•     Positive stakeholder feedback on clarity and
decision -usefulness of strategy artifacts.