| Key Responsibilities | Area | What You Will Do | | Executive Discovery & Assessment | Lead C suite workshops to capture business objectives, automation pain points, and AI ambitions.
Conduct rapid maturity assessments using TOGAF/SAFe, AI Capability Maturity Models, and industry benchmarks.
Quantify value pools, ROI, and risk for prioritized use cases (e.g., GenAI copilots, intelligent document processing, autonomous workflows). | | Target Architecture & Roadmap | Define end to end architectures covering data, application, integration, security, and governance layers-cloud agnostic but fluent in AWS, Azure, and Google Cloud Platform native AI services.
Establish reference patterns for LLM orchestration, RAG pipelines, agent based automation, and event driven microservices.
Craft 12 to 24 month transformation roadmaps with clear milestone KPIs, talent requirements, and change management plans. | | Governance & Operating Model | Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models (data privacy, ethics, compliance).
Recommend platform selection criteria (build vs. buy) and partner ecosystems. | | Proofs of Value & Quick Win Delivery | Oversee rapid proofs of value to validate assumptions, de risk technology choices, and demonstrate tangible impact within 90 days. | | Thought Leadership & Capability Building | Mentor client and internal teams; publish POVs on emerging AI trends, DevOps for ML, and responsible AI frameworks.
Contribute reusable blueprints, assessment accelerators, and methodology assets across the consulting practice. | Qualifications - Education: Bachelor's in Computer Science, Engineering, or related field (Master's or MBA preferred).
- Experience: 15+ years in enterprise / solution architecture, with 8+ years leading AI, automation, or digital transformation programs in a consulting environment.
- Technical Depth:
- Hands on architecture for GenAI, LLM fine tuning/RAG, ML Ops, RPA, event streaming, and API first integration.
- Fluency across major hyperscaler stacks (AWS SageMaker & Bedrock, Google Vertex AI & Duet, Azure OpenAI & ML).
- Working knowledge of security, data governance, and DevSecOps best practices.
- Methodology & Frameworks: TOGAF 9/10, Zachman, SAFe, ITIL 4, COBIT, or equivalent; Lean/Agile delivery.
- Business Acumen: Proven ability to translate executive vision into actionable technology roadmaps and to build multi million dollar business cases.
- Soft Skills: Polished communicator with board room presence; excels at stakeholder alignment, conflict resolution, and cross functional leadership.
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