Enterprise AI Architect

Algoleap Technologies

  • Dallas, Texas
  • 30+ days ago

    Highlights

    This role translates approvedAI strategy decisions into high-quality written and visual artifacts — architecturedecision records (ADRs), capability frameworks, platform narratives, strategydecks, and socialization materials — for both internal leadership and externalclient audiences. Translate approved AI strategy decisions into durablewritten artifacts: Architecture Decision Records (ADRs), AI capabilityframeworks, reference architectures, platform narratives, and target-stateblueprints.

    Numbers & Facts

    LocationDallas, Texas

    Description

    Experience: 15 years

    Location: Bengaluru — EmbassyGolf Links (EGL) area | Hybrid, 3 days/week in officeWe are seeking a seasonedEnterprise AI Architect to serve as the intellectual engine behind our AIstrategy and architecture communication function. This role translates approvedAI strategy decisions into high-quality written and visual artifacts — architecturedecision records (ADRs), capability frameworks, platform narratives, strategydecks, and socialization materials — for both internal leadership and externalclient audiences.

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

    Key Responsibilities

    AI Vision, Strategy &Architecture Documentation

    Translate approved AI strategy decisions into durablewritten artifacts: Architecture Decision Records (ADRs), AI capabilityframeworks, reference architectures, platform narratives, and target-stateblueprints.

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

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

    Executive &Stakeholder Content Support

    Support senior leadership (Amit) in producing contentfor stakeholder presentations, leadership briefings, board-level updates, andclient-facing collateral.

    Convert complex technical concepts (agenticarchitectures, LLM platform design, data governance, security postures) intocrisp, decision-oriented narratives.

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

    Architecture Advisory

    Participate in AI strategy and architecture reviewforums; capture decisions and articulate their downstream architecturalimplications.

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

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

    Required Qualifications& Experience

    15 years of overall IT experience, withsignificant time in enterprise architecture, solution architecture, ortechnology strategy roles.

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

    Proven track record producing executive-grade writtenartifacts: ADRs, capability models, reference architectures, strategydocuments, 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 withprecision, structure, and audience awareness.

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

    Experience working directly with senior executives andtranslating their intent into finished artifacts with minimal iteration.

    Preferred Qualifications

    Consulting or advisory background with enterpriseclients (financial services exposure a plus).

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

    Exposure to agentic AI frameworks (LangGraph, GoogleADK, Copilot Studio, or similar).

    TOGAF, Azure Solutions Architect, or comparablecertifications.

    Success Measures (First6–12 Months)

    A fully operational ADR and architecture documentationpractice with consistent templates and cadence.

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

    Positive stakeholder feedback on clarity anddecision-usefulness of strategy artifacts.

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