Generative AI Forward Deployed Engineer

About the role

As a , you will own the end to end delivery of production grade modernization initiatives that leverage generative AI capabilities within existing enterprise landscapes. You will partner directly with customer technology leaders to translate ambiguous modernization goals into concrete, measurable outcomes delivered on contracted timelines. You will be the primary technical owner from discovery through production cutover, exercising architectural judgment and making final decisions where autonomous agents cannot act. You will leverage the Aedeon agent platform to automate up to 60-70 percent of discovery, dependency mapping, validation, and test generation activities. In parallel, you will focus intensely on the non agent portion of the work, including target architecture design, refactoring trade offs, model selection, and cutover orchestration. You will ensure that legacy systems are retired, new production workloads are stabilized, and business outcomes are verified against the original engagement contract. This role is explicitly not a staff augmentation or advisory position; it is a hands on execution role where you commit to and deliver production results on date bound milestones.

Key facts

What you'll do

Perform discovery and assessment of existing enterprise landscapes, identifying modernization opportunities and quantifiable business outcomes.

Design target architectures for generative AI enabled workloads, balancing platform consolidation, security controls, and operational simplicity.

Own the target operating model, defining operating models, governance, and runbooks for production generative AI services.

Lead dependency mapping across technical, data, and business domains to de risk cutover activities and ensure continuity.

Design and validate automated test suites, leveraging the Aedeon agent platform to scale verification while exercising human judgment on edge cases.

Define and execute cutover strategies, including data migration, configuration changes, and rollback plans aligned with contractual timelines.

Collaborate with customer stakeholders to refine requirements, resolve ambiguity, and make timely decisions that keep delivery on schedule.

Take ownership of production issues during and after cutover, applying generative AI specific troubleshooting techniques and operational heuristics.

Translate platform capabilities into quantifiable outcome metrics, demonstrating reduced legacy spend, improved deployment frequency, and enhanced reliability.

Continuously refine the engagement playbook by capturing patterns from agent workflows and human decision points for future programs.

Drive knowledge transfer to customer teams, ensuring they can operate and extend the new environment independently after handover.

Partner with product and platform teams to influence the evolution of the Aedeon agent platform based on field feedback.

Maintain strict alignment with contractual scope, avoiding speculative work while proactively highlighting risks that could impact delivery.

Act as the technical conscience of the engagement, balancing automation benefits with responsible judgment on when human intervention is required.

Requirements

You must have a minimum of eight years of hands on experience in software development, systems architecture, or engineering leadership.

You must have direct experience with cloud platforms, specifically demonstrating architectural and operational work on at least one major public cloud.

You must have a proven track record of delivering production systems, including at least one full lifecycle delivery from discovery through cutover and stabilization.

You must be comfortable working in a fully remote, asynchronous communication environment while maintaining clarity and accountability.

You must be based in Mumbai, Maharashtra, and able to work within Indian Standard Time without disruption to collaboration.

You must have strong written and verbal communication skills in English, enabling effective dialogue with both technical and executive stakeholders.

You must be willing to engage with agent platforms and automation tools, while retaining clear judgment on decisions these tools cannot make.

You must be willing to travel occasionally for customer visits, contract reviews, or workshops as defined within the engagement terms.

Nice to have

Experience with generative AI platforms, model selection, and prompt engineering patterns relevant to enterprise workloads.

Familiarity with agentic automation concepts and observability of autonomous system behavior.

Background in regulated industries where auditability, compliance, and documentation are critical to delivery success.

Experience with devops, platform engineering, and infrastructure as code practices in cloud native environments.

Practical notes

This is a full time remote engagement based out of Mumbai, MH.

Travel may be required occasionally for customer visits, contract reviews, or workshops.

Visa sponsorship is not applicable for this role as it is a remote engagement based in India.

There are no time bound deadlines for application submission mentioned in the source; however, engagements are structured around contractual start dates so timely responsiveness is valued.