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OCI_and_Oracle_Solution_ArchitectAccenture · Kolkata, West Bengal, India
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Accenture

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OCI_and_Oracle_Solution_Architect

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🗓️ Posted 2026-10-01 Kolkata, West Bengal, India Full-time On-site ICT
💰 Salary Not shared 📊 Market ₹120,000–₹250,000/mo

About the Company

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately 70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way. Business Consulting and Services Specialties: Management Consulting, Systems Integration and Technology, Business Process Outsourcing, Application and Infrastructure Outsourcing

About the Role

The primary responsibility of this role is to act as a Forward Deployment Engineer in medium-to-large opportunities for mid sized clients; that may involve solutioning including but not limited to understanding client requirements, deployment planning, environment configuration, integration design, testing, and go live execution of AI native and agentic AI solutions. Mid market companies increasingly require rapid deployment of AI capabilities that can generate measurable business outcomes while integrating seamlessly with existing technology landscapes. These organizations require scalable, repeatable, and right sized deployment approaches that accelerate time to value and minimize implementation risk. The role requires the ability to rapidly configure integrations, validate architecture assumptions, resolve deployment challenges, and accelerate realization of business value. As a Forward Deployment Engineer, you will assist sales, delivery, architecture, engineering, and client teams in deploying AI native solutions, agentic workflows, and automation capabilities within client environments. Your goal is to establish trusted relationships with internal teams and customers while ensuring successful implementation, rapid adoption, and value realization. The successful candidate will bring a Forward Deployment Engineering mindset, combining technical expertise, cloud engineering knowledge, architecture awareness, rapid prototyping capabilities, and innovation led thinking to solve complex deployment challenges and accelerate business outcomes.

Responsibilities

  • ● Translate deployment requirements into executable implementation plans using deep knowledge of AI native solutions, cloud platforms, APIs, and enterprise integrations.
  • ● Collaborate with Sales Pursuit, Solution Architects, Engineering, and Delivery Teams to ensure successful deployment and adoption of AI solutions.
  • ● Deploy and configure pre built agentic AI solutions within client environments while preserving solution integrity and performance standards.
  • ● Act as the technical bridge between architecture, engineering, delivery, and client teams during implementation activities.
  • ● Identify deployment risks and develop mitigation strategies to support successful go live execution.
  • ● Ensure solutions meet security, compliance, scalability, and operational requirements.
  • ● Adapt integrations, data connections, APIs, and workflows to align with client specific technical landscapes.
  • ● Deploy AI solutions into AWS and GCP environments while ensuring optimal performance and reliability.
  • ● Configure authentication, access controls, monitoring, and operational support requirements.
  • ● Integrate AI assets with enterprise systems, data platforms, collaboration tools, and business applications.
  • ● Validate deployment readiness through testing, performance assessment, and environment verification.
  • ● Lead deployment activities and support rapid go live execution for AI solutions and agentic workflows.
  • ● Conduct deployment validation, smoke testing, and operational readiness assessments.
  • ● Drive issue identification, troubleshooting, and resolution during implementation and stabilization phases.
  • ● Ensure seamless handoff to operations and delivery teams through documentation and knowledge transfer.
  • ● Develop reusable deployment accelerators, templates, and best practices that improve implementation efficiency.
  • ● Establish trusted advisor relationships with client stakeholders, architects, engineers, and operations teams.
  • ● Conduct deployment workshops, technical assessments, and implementation planning sessions.

Requirements

  • ● Minimum 5-8 years of experience in cloud engineering, solution deployment, systems integration, or platform implementation.
  • ● Experience deploying applications and services within AWS and/or GCP environments.