Enterprise AI Architect - Remote
Enterprise AI Architect - Remote
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1 Vacancy
Job Description
We are looking for a seasoned Enterprise AI Architect to spearhead end to end assessments for Enterprise scale AI and Intelligent Automation initiatives at mid sized clients. Operating as a trusted advisor to the CEO and CEO 1 level you will diagnose current state capabilities craft future state architectures and build pragmatic transformation roadmaps that unlock measurable value from Generative AI machine learning RPA and intelligent workflow orchestration. You will serve as the critical link between executive vision technology strategy and delivery execution-balancing quick wins with long term platform resilience.
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 GCP 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: Bachelors in Computer Science Engineering or related field (Masters 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.
Certifications (nice to have): TOGAF AWS/Azure/GCP Architect Professional PMP Certified RPA Architect (UiPath/Automation Anywhere) or equivalent.
Employment Type
Full-time
