AI Architect

Algoleap Technologies; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Algoleap Technologies is seeking a seasoned Enterprise AI Architect to drive AI strategy and architecture communication, translating decisions into ADRs, capability frameworks, and platform narratives for leadership and clients.

The role collaborates with senior leadership to produce executive content, references architectures, and client-facing collateral. Deep enterprise-architecture credibility and executive-communication skills are essential.

Qualifications

• 15 years of overall IT experience with enterprise architecture or technology strategy focus.
• Experience in AI/ML or GenAI programs including platform architecture and LLM integration.
• Hands-on experience with Copilot Studio for enterprise-scale deployments.
• Proven ability to produce executive-grade written artifacts (ADRs, strategy decks, C-suite presentations).
• Strong command of TOGAF or equivalent and cloud-native patterns.
• Excellent written communication and polished client-ready decks.

Responsibilities

• Translate AI strategy decisions into durable written artifacts (ADRs, capability frameworks, narratives).
• Develop and maintain AI architecture repository with decisions, rationale, and dependencies.
• Author strategy decks and socialization materials for diverse audiences including executives and clients.
• Lead incubation of Copilot Studio with reference patterns and evaluation frameworks for enterprise use.
• Architect rollout pathways from pilot to production with Azure OpenAI, Dataverse, and Power Platform integration.
• Establish adoption enablement with guardrails and governance for business units.

Skills

15 years IT experience

AI/ML GenAI

Copilot Studio

Executive writing

TOGAF

PowerPoint

Cloud architectures

Tools

Azure OpenAI

Dataverse

Power Platform

Job description

Algoleap Technologies Pvt Ltd | Full time

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.


• Lead the incubation of Microsoft Copilot Studio as an enterprise agent platform: define reference patterns, guardrails, and evaluation frameworks (golden datasets, accuracy thresholds, confidence-gated responses) for agent quality.


• Architect the rollout pathway from pilot to production — environment strategy, ALM, DLP policies, licensing considerations, and integration with Azure OpenAI, Dataverse, and Power Platform components.


• Establish adoption enablement: agent design standards, maker governance, and playbooks that allow business units to build Copilot Studio agents within architectural guardrails.

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.


• 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 yearsof 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).


• Hands-on experience with Microsoft Copilot Studio— agent design, orchestration, knowledge sources, evaluation and rollout at enterprise scale — is a key skill area for this role.


• 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) and the broader Power Platform (AI Builder, Power Automate, Dataverse).


• 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.


• Copilot Studio incubated with defined reference patterns and at least one governed rollout from pilot to production.


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


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