Forward Deployed Software Engineer

Arcesium; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Arcesium is building a Corporate AI Transformation team, and you will be one of its first members as a Forward Deployed Engineer. You will work with business, operations, and engineering teams to identify high-impact internal use cases and convert them into AI solutions that run in production.

This role is not a traditional backend position; you will be a builder, systems engineer, and product thinker rolled into one, shipping production-grade internal tools and driving adoption across the

Qualifications

• 6+ years of hands-on engineering experience, with a track record of shipping systems that other people depend on.
• Strong engineering fundamentals across APIs, data, and systems design.
• Experience building internal tools or automation systems for business teams.
• The ability to understand a platform quickly, build on top of it, and turn business context into reliable technical solutions.
• Systems thinking. You can hold a whole workflow in your head, see where it is structurally inefficient, and redesign it rather than automate it as it stands.
• A bias to ship iteratively. You get a thin version into real use, learn from it, and improve it, instead of waiting for a complete design.
• Credibility with senior business and technology leaders, and the ability to say hard things clearly to both.
• Comfort with ambiguity and ownership. You will pick your own problems as often as you are handed them.

Responsibilities

• Partner with business and functional teams to find opportunities for workflow automation and AI-assisted decision-making.
• Understand complex operational processes and convert them into structured problems and technical workflows.
• Build agents, workflow automations, and internal applications on top of corporate data systems and enterprise tools.
• Rapidly prototype using LLMs, agent frameworks, and MCPs, and iterate with real users.
• Design agent architectures that complete business tasks reliably.
• Collaborate with engineering, business, and security teams to move prototypes into scalable solutions.
• Evaluate build-vs-buy options for AI workflows and identify the right technical approach.
• Create reusable components, templates, and playbooks to accelerate work across the firm.
• Define KPIs, measure impact, and drive adoption.

Skills

APIs

Data

Systems design

Internal tools

Automation

Job description

Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.

Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.

Job Overview

Arcesium is building a Corporate AI Transformation team, and you will be one of its few first members. As a Forward Deployed Engineer, you will work closely with business, operations and engineering teams to identify high-impact internal use cases and convert them into working AI solutions that run in production.

This is not a traditional backend or application engineering role. You will operate like a builder, systems engineer, and product thinker rolled into one. You will take ambiguous business problems, break them into solvable workflows, design the agent architecture, and ship production-grade internal tools. You will work with Arcesium's corporate systems, data assets, and AI tech stack to build agents and automations that reduce manual effort, improve decision-making, and scale repeatable work. Success for this role isn’t just measured by shipping a prototype or completing a project, it’s measured by putting solutions into production and driving meaningful adoption and impact.

The ideal candidate brings strong engineering fundamentals, a builder's mindset, and a passion for using AI to improve how work gets done. This is a high-impact role for someone who wants to build AI solutions that meaningfully improve enterprise processes.

What you'll do

• Partner with business and functional teams to find the opportunities: workflow automation, AI-assisted decision-making, and work that agents can take on.
• Understand complex operational processes across teams and convert them into structured problem statements, system designs, and technical workflows.
• Build agents, workflow automations, and internal applications on top of Arcesium's corporate data systems, and enterprise tools.
• Rapidly prototype using LLMs, agent frameworks, MCPs. Get something small in front of real users early and iterate on their feedback.
• Design agent architectures that complete business tasks reliably.
• Work with engineering, business, and security teams to take prototypes to move prototypes into scalable, maintainable solutions.
• Evaluate build-vs-buy options for AI workflows and identify the right technical approach for each use case.
• Create reusable components, templates and playbooks that accelerate this work across the firm.
• Define the KPIs, measure the impact, and drive adoption.

What you'll need

• 6+ years of hands-on engineering experience, with a track record of shipping systems that other people depend on.
• Strong engineering fundamentals across APIs, data, and systems design.
• Experience building internal tools or automation systems for business teams.
• The ability to understand a platform quickly, build on top of it, and turn business context into reliable technical solutions.
• Systems thinking. You can hold a whole workflow in your head, see where it is structurally inefficient, and redesign it rather than automate it as it stands.
• A bias to ship iteratively. You get a thin version into real use, learn from it, and improve it, instead of waiting for a complete design.
• Credibility with senior business and technology leaders, and the ability to say hard things clearly to both.
• Comfort with ambiguity and ownership. You will pick your own problems as often as you are handed them.