Enterprise Architect

Job Title / Role: Enterprise Architect

Key Skills: Enterprise Architecture, TOGAF, Agentic AI Architecture, Cloud Architecture

Experience: 15+

Location: San Deigo CA

Shift: General

Mode: Remote

We at Coforge are seeking "Enterprise Architect" with the following skill set:

Key Responsibilities

The Enterprise Architect is a senior consulting leader and trusted technology advisor who connects client business strategy with executable transformation, shapes commercially viable opportunities, and governs architecture outcomes across complex global ecosystems.

1. Act as the trusted technology and AI advisor for assigned accounts, build C-suite relationships, lead discovery and maturity assessments, and provide independent, outcome-focused recommendations.
2. Partner with account and sales leaders on account plans, opportunity identification, deal shaping, proposals and executive presentations while maintaining advisory integrity and ensuring appropriate AI interventions are included.
3. Lead architecture and AI solutioning for strategic pursuits and transformation programmes, ensuring alignment with business objectives, enterprise principles and measurable value.
4. Mentor Solution Architects, assure architecture and design quality, and provide senior technical leadership to resolve critical client and delivery issues.

Architecture Development

1. Define and maintain enterprise architecture principles, standards, reference architectures, reusable building blocks and governance across business, data, application and technology domains.
2. Assess business strategy, operating models and the technology estate; develop capability maps, value streams, baseline and target architectures, transition states and pragmatic roadmaps.
3. Apply a tailored method such as TOGAF ADM or Zachman framework, where appropriate, to organise viewpoints, assure completeness and maintain traceability.
4. Translate target architectures into investment priorities, transformation increments, adoption plans and measurable benefits, KPIs and business outcomes.
5. Develop enterprise and solution architectures for modernisation, cloud, integration, data and AI platforms, balancing reuse, interoperability, security, scalability, resilience, sustainability and cost.
6. Guide build, buy and partner decisions, vendor and platform selection, and multi-vendor ecosystem integration while managing lock-in, sovereignty and regulatory considerations.
7. Design for federated, multi-geography enterprises and global delivery models, recognising local regulations, organisational constraints and cultural differences.

AI Expertise

1. Architect enterprise AI, GenAI and Agentic AI solutions, including model and data integration, prompt orchestration, evaluation and AI operations for intelligent & autonomous enterprise.
2. Define AI strategies, operating models, platform roadmaps, reference architectures and reusable patterns that convert business opportunities into executable transformation plans.
3. Embed responsible AI, model governance, security, privacy, observability, resilience and cost controls into solution design and delivery.
4. Guide AI solutions from proof of concept to secure, scalable production deployment with clear evaluation criteria and measurable business outcomes.
5. Mentor architects and engineering teams in AI architecture, design, evaluation and client-facing technical leadership.

Advisory

1. Advise executives on technology strategy, operating-model implications and transformation priorities, including high-value AI opportunities.
2. Lead discovery sessions, executive workshops, maturity assessments and option analyses that convert strategic objectives into practical investment roadmaps and value propositions.
3. Present concise decision papers covering business value, investment choices, risks and trade-offs; challenge assumptions constructively and build executive alignment.
4. Track market, industry and technology developments and adapt recommendations as client needs, regulations and ecosystem conditions evolve.

Technology Ownership

1. Own architecture outcomes for assigned accounts, domains and programmes, including strategic options, target-state decisions and delivery alignment.
2. Lead Architecture Review Board activities and governance gates; maintain decision records, architecture contracts and traceability, and manage compliance, exceptions and waivers.
3. Ensure target architectures are translated into funded and executable portfolios, with adoption, conformance, benefits and outcome tracking through delivery.
4. Provide portfolio assurance across dependencies, interoperability, cyber risk, data sovereignty, regulatory compliance, resilience, technical debt and lifecycle health.
5. Lead selected innovation initiatives and continuously improve EA effectiveness, maturity, methods and governance.

Collaboration

1. Influence without direct authority across client, SI, partner and vendor organisations, aligning business, sales, product, data, security, engineering and delivery leaders.
2. Facilitate cross-domain and cross-cultural workshops, reconcile competing concerns, document trade-offs and secure agreement on principles, target states and priorities.
3. Convert architecture commitments into executable delivery plans across distributed global teams while balancing strategic alignment, feasibility and stakeholder needs.
4. Develop reusable consulting assets, industry viewpoints, reference architectures and accelerators, and contribute to the architecture community and thought leadership.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology or a related discipline.
• 15+ years of technology experience, including 6–8+ years in enterprise or solution architecture within a global SI, leading consultancy or complex multinational enterprise.
• Demonstrated success leading executive advisory engagements, transformation programmes, technology account planning and strategic pursuits from discovery through delivery and value realisation.
• Strong architecture experience across distributed systems, integration, APIs, microservices, cloud, data, security, DevOps, resilience and performance engineering.
• Hands-on understanding of AI/ML platforms, GenAI and Agentic AI patterns, enterprise data foundations, model integration, RAG, evaluation, AI operations and responsible AI.
• Proficiency in TOGAF ADM and enterprise modelling; familiarity with LeanIX or similar EA tools, multi-vendor ecosystems and vendor/platform selection is desirable.
• Strong commercial judgement covering business value, investment options, total cost of ownership, deal economics, risk and architecture trade-offs.
• Excellent executive communication, storytelling, facilitation, negotiation and stakeholder-management skills, with proven ability to influence globally distributed teams without direct authority.
• Understanding of cyber security, privacy, regulatory compliance, data governance, sovereignty, operational resilience and sustainability.
• Preferred: TOGAF or equivalent EA certification; Agile/DevOps experience; and industry knowledge in Financial Services, Insurance, Travel and Transport, or other large-scale enterprise sectors.