Job Description
Job Title / Role: Enterprise Architect
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Key Skills: Enterprise Architecture, TOGAF, Agentic AI Architecture, Cloud Architecture
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Experience: 15+
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Location: San Deigo CA
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Shift: General
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Mode: Remote
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We at Coforge are seeking “Enterprise Architect” with the following skill set:
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Key Responsibilities
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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.
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- 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.
- 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.
- Lead architecture and AI solutioning for strategic pursuits and transformation programmes, ensuring alignment with business objectives, enterprise principles and measurable value.
- Mentor Solution Architects, assure architecture and design quality, and provide senior technical leadership to resolve critical client and delivery issues.
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Architecture Development
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- Define and maintain enterprise architecture principles, standards, reference architectures, reusable building blocks and governance across business, data, application and technology domains.
- Assess business strategy, operating models and the technology estate; develop capability maps, value streams, baseline and target architectures, transition states and pragmatic roadmaps.
- Apply a tailored method such as TOGAF ADM or Zachman framework, where appropriate, to organise viewpoints, assure completeness and maintain traceability.
- Translate target architectures into investment priorities, transformation increments, adoption plans and measurable benefits, KPIs and business outcomes.
- Develop enterprise and solution architectures for modernisation, cloud, integration, data and AI platforms, balancing reuse, interoperability, security, scalability, resilience, sustainability and cost.
- Guide build, buy and partner decisions, vendor and platform selection, and multi-vendor ecosystem integration while managing lock-in, sovereignty and regulatory considerations.
- Design for federated, multi-geography enterprises and global delivery models, recognising local regulations, organisational constraints and cultural differences.
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AI Expertise
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- Architect enterprise AI, GenAI and Agentic AI solutions, including model and data integration, prompt orchestration, evaluation and AI operations for intelligent & autonomous enterprise.
- Define AI strategies, operating models, platform roadmaps, reference architectures and reusable patterns that convert business opportunities into executable transformation plans.
- Embed responsible AI, model governance, security, privacy, observability, resilience and cost controls into solution design and delivery.
- Guide AI solutions from proof of concept to secure, scalable production deployment with clear evaluation criteria and measurable business outcomes.
- Mentor architects and engineering teams in AI architecture, design, evaluation and client-facing technical leadership.
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Advisory
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- Advise executives on technology strategy, operating-model implications and transformation priorities, including high-value AI opportunities.
- Lead discovery sessions, executive workshops, maturity assessments and option analyses that convert strategic objectives into practical investment roadmaps and value propositions.
- Present concise decision papers covering business value, investment choices, risks and trade-offs; challenge assumptions constructively and build executive alignment.
- Track market, industry and technology developments and adapt recommendations as client needs, regulations and ecosystem conditions evolve.
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Technology Ownership
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- Own architecture outcomes for assigned accounts, domains and programmes, including strategic options, target-state decisions and delivery alignment.
- Lead Architecture Review Board activities and governance gates; maintain decision records, architecture contracts and traceability, and manage compliance, exceptions and waivers.
- Ensure target architectures are translated into funded and executable portfolios, with adoption, conformance, benefits and outcome tracking through delivery.
- Provide portfolio assurance across dependencies, interoperability, cyber risk, data sovereignty, regulatory compliance, resilience, technical debt and lifecycle health.
- Lead selected innovation initiatives and continuously improve EA effectiveness, maturity, methods and governance.
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Collaboration
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- Influence without direct authority across client, SI, partner and vendor organisations, aligning business, sales, product, data, security, engineering and delivery leaders.
- Facilitate cross-domain and cross-cultural workshops, reconcile competing concerns, document trade-offs and secure agreement on principles, target states and priorities.
- Convert architecture commitments into executable delivery plans across distributed global teams while balancing strategic alignment, feasibility and stakeholder needs.
- Develop reusable consulting assets, industry viewpoints, reference architectures and accelerators, and contribute to the architecture community and thought leadership.
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Qualifications
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- 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.
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