Senior AI Forward Deployed Engineer - Cogentiq I2C

Fractal Analytics Ltd.; Bengaluru; On-site; INR 1,800,000 - 2,900,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru is seeking a Senior AI Forward Deployed Engineer to own the technical outcome for Cogentiq I2C across a portfolio of strategic accounts. You translate business problems in finance terms into production AI systems, reduce DSO, and guide a deployment team.

You lead architecture decisions, define KPI contracts, and balance build vs. buy while staying within governance and risk constraints.

Qualifications

• 6 to 10 years building and operating production systems, including at least two years in customer-facing delivery.
• A track record of taking at least one non-trivial AI system to production and keeping it running afterwards.
• Strong Python and system design depth.
• Depth across LLM and agentic architectures, retrieval, evaluation methodology, guardrails and observability.
• Cloud deployment experience at scale.
• Azure is preferred given our stack.
• Containers and orchestration.
• Enough finance vocabulary to hold a conversation about DSO, deductions, remittance advice, and cash application without a translator.
• Commercial judgement.

Responsibilities

• Own the technical outcome for a portfolio of accounts, from discovery through production rollout and scale.
• Set and defend the deployment KPI contract: accuracy, straight-through processing rate, latency, cost per transaction, adoption and business impact.
• Hold the technical relationship with customer sponsors and IT leadership.
• Translate ambiguous goals into a solution design covering agent topology, retrieval strategy, human oversight boundaries, integration approach and data model.
• Make and document the build versus configure versus extend-the-product calls.
• Decline bespoke work that cannot be maintained across the customer base.
• Own the integration design against customer ERP, banking and document infrastructure.
• Lead a deployment team of Forward Deployed Engineers and specialists.
• Scope the work, sequence it and unblock it.
• Own proof-of-value and pilot scoping with effort estimates and success criteria.
• Act as incident commander for production failures.
• Own the root cause analysis and remediation plan.
• Explain to finance and IT leadership what the system can and cannot do and what residual risk remains after it is deployed.
• Guide customers on governance, human oversight design, model risk and responsible AI.
• Convert deployment learnings into reusable assets: reference architectures, connector templates, evaluation packs and deployment accelerators.
• Bring evidenced feedback to the product roadmap.

Skills

Python

LLM architectures

Cloud deployment

Azure

Containers

SAP S/4HANA

Tools

Azure

Containers

Job description

Senior AI Forward Deployed Engineer - Cogentiq I2C (Invoice-to-Cash)

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Role summary

You own the technical success of Cogentiq I2C at a portfolio of strategic accounts. You take a business problem that arrives stated in finance terms, reduce our days sales outstanding, stop writing off small-balance deductions, and turn it into a production AI system that the customer’s finance organisation actually uses. You lead a small deployment team. You make the architecture calls. You are the person the customer sponsor calls when something is wrong, and the person who tells them what we will not build. This is an engineering role. You will still be in the codebase. The difference from the first band is that you also carry the account, the design and the team.

What you will own

Account technical ownership

Own the technical outcome for a portfolio of accounts, from discovery through production rollout and scale. Set and defend the deployment KPI contract: accuracy, straight-through processing rate, latency, cost per transaction, adoption and business impact. Hold the technical relationship with customer sponsors and IT leadership.

Solution design and architecture

Translate ambiguous goals into a solution design covering agent topology, retrieval strategy, human oversight boundaries, integration approach and data model. Make and document the build versus configure versus extend-the-product calls. Decline bespoke work that cannot be maintained across the customer base. Own the integration design against customer ERP, banking and document infrastructure.

Delivery leadership

Lead a deployment team of Forward Deployed Engineers and specialists. Scope the work, sequence it and unblock it. Own proof-of-value and pilot scoping, including effort estimates and success criteria that can be measured rather than asserted. Act as incident commander for production failures. Own the root cause analysis and the remediation plan.

Advisory

Explain to finance and IT leadership what the system can and cannot do and what residual risk remains after it is deployed. Guide customers on governance, human oversight design, model risk and responsible AI.

Product and asset leadership

Convert deployment learnings into reusable assets: reference architectures, connector templates, evaluation packs and deployment accelerators. Bring evidenced feedback to the product roadmap. Distinguish a single customer’s preference from a genuine product gap.

What you bring

• 6 to 10 years building and operating production systems, including at least two years in customer-facing delivery.
• A track record of taking at least one non-trivial AI system to production and keeping it running afterwards.
• Strong Python and system design depth.
• Depth across LLM and agentic architectures, retrieval, evaluation methodology, guardrails and observability.
• Cloud deployment experience at scale.
• Azure is preferred given our stack.
• Containers and orchestration.
• Enough finance vocabulary to hold a conversation about DSO, deductions, remittance advice, and cash application without a translator or the evident ability to get there within a quarter.
• Commercial judgement.
• You can recognise when a customer request has quietly become unpaid scope, and you raise it early.
• Willingness to travel and embed with customers.
• Nice to have AI deployments in regulated industries.
• Enterprise ERP integration experience, particularly SAP S/4HANA or Dynamics 365 Finance and Operations.
• Experience mentoring or leading engineers.
• Pre-sales or solution architecture exposure.
• Startup or product-building experience where customer feedback shaped what got built.

What success looks like in your first year

Two accounts running in production against agreed KPIs. The Forward Deployed Engineers on your team are measurably more capable than when they joined it. At least two reusable assets you produced is in use by another deployment team.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.