Accenture in India
Forward Deployed Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
3 September 2026
What they need
Project Role : Forward Deployed Engineer
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
Must have skills : Google Gemini Code Assist
Good to have skills : GitHub, AI Agents & Workflow Integration, Gemini prompt library, GitHub Copilot
Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education
Summary:
As a Forward Deployed Engineer, your day involves coordinating the implementation of artificial intelligence workflows and system architectures across a variety of technology platforms. You will work closely with multiple teams to design and integrate solutions that align with enterprise technology environments, ensuring seamless interaction between AI models and diverse service providers. Your role requires managing complex deployments and fostering collaboration to support the evolving needs of the organization s AI ecosystem.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure smooth deployment and integration of AI workflows.
- Continuously monitor and optimize deployed AI systems to enhance performance and reliability.
- Assist junior team members by sharing knowledge and providing guidance on deployment best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Gemini Code Assist.
- Good To Have Skills: Experience with GitHub, AI Agents & Workflow Integration, Gemini prompt library, GitHub Copilot.
- Strong understanding of AI workflow orchestration and deployment strategies.
- Familiarity with multi-provider platform integration and enterprise technology stacks.
- Ability to troubleshoot and resolve complex technical issues related to AI deployments.
- Experience in collaborating with diverse technical teams to deliver scalable AI solutions.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Gemini Code Assist.
- This position is based at our BDC14A - STPI office.
- A 15 years full time education is required.
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