ORACLE - Solution Architect
Indexed description
In this role, you will
- Lead initial customer conversations for Oracle modernization and AI-enabled transformation, identifying priority business outcomes, high-value use cases and adoption considerations.
- Lead Oracle and AI readiness assessments to build a phased modernization roadmap covering applications, data, integration, cloud platform, security, governance and change adoption.
- Design differentiated Oracle solutions that embed AI into business workflows across ERP, HCM, SCM and CX, with clear value realization, architecture and delivery plans.
- Lead multi-disciplinary teams across Testing, Legacy Integrations, Cloud Enablement and Change Management as solution lead for RFPs, bringing Oracle AI capabilities and Cognizant accelerators to customer opportunities.
- Establish responsible AI and security-by-design guardrails covering identity and access, data privacy, model risk, prompt and output controls, auditability and regulatory requirements.
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 3 days a week in a client or Cognizant office in Pan India.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you must have to be considered
- Experience leading mid to large-size Oracle programs as a Solution Architect in transformation programs, with a deep understanding of the customer journey to Oracle and the various options available.
- Experience in pre-sales activities, including leading RFP/RFI responses as Solution Lead, and managing multiple streams within a program such as functional, integration, data migration and change management.
- Breadth of understanding of the overall Oracle landscape, interdependencies between modules and cross-functional integration, with strong awareness of the Oracle product roadmap and market trends across Fusion Cloud Applications, OCI, data platforms, generative AI and agentic AI.
- Hands-on understanding of Oracle Fusion Cloud embedded AI capabilities and Oracle AI Agent Studio, including agent design, orchestration, tools, security and lifecycle management.
- Working knowledge of OCI AI services and enterprise AI architecture patterns, including generative AI, retrieval-augmented generation, vector databases, APIs and integration services.
- Ability to act as a trusted advisor to customer program teams, represent Cognizant during Steering Committee meetings and engage with CXOs and department heads.
- Ability to assess AI use-case feasibility, data readiness, risk, operating model and total cost, and convert findings into a prioritized roadmap and business case.
- Experience defining responsible AI, security, privacy, compliance, observability and human-in-the-loop controls for enterprise solutions.
- Ability to create and present AI-enabled solution demonstrations, reference architectures and executive-level value propositions for business and technology stakeholders.
- Strong industry domain and process leadership skills, building trust in customer conversations.
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