AI Orchestration Engineer, Lead

Fidelity Information Services, LLC; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Fintech innovation opportunities

Growth tools and learning

Internal career growth

Job summary

Fidelity Information Services, LLC seeks an AI and Automation Engineer, Lead, to embed with a corporate-function team and deliver practical AI, automation, and integration solutions. You will guide discovery, design secure architectures, build AI-enabled workflows, and operationalize productions with strong security and reliability guarantees.

You will measure outcomes, improve baselines, and generalize successful patterns into reusable components for future RDE engagements, while collaborating

Qualifications

• Hands-on engineering experience delivering enterprise workflow automation, integrations, AI-enabled applications or data-driven solutions into production.
• Practical experience using generative AI, workflow automation or agent-development platforms to improve business processes.
• Strong programming or scripting skills, with experience working with APIs, structured data, system integrations and stateful or event-driven workflows.
• Excellent written, verbal and facilitation skills, with the ability to embed within an existing team, build trust, ask incisive questions, listen actively and present ideas, prototypes and technical trade-offs clearly.
• Strong problem-solving and delivery skills, with the ability to work directly with business and technical stakeholders through ambiguity.

Responsibilities

• Discover: Embed with business teams, build effective working relationships, observe work and ask the right questions to identify high-value opportunities, process constraints, data-quality issues and desired outcomes.
• Design: Translate business needs into secure, scalable solution designs that use the appropriate combination of deterministic automation, integrations, AI assistants or agents, durable workflows and human decision-making.
• Build: Create AI-enabled workflows, applications, APIs and integrations using approved enterprise technologies, and communicate prototypes, recommendations and technical trade-offs clearly to business and technical audiences.
• Operationalize: Test, deploy and support production solutions with appropriate attention to security, reliability, observability, data quality, maintainability, exception handling and operational ownership.
• Measure and improve: Establish baselines, measure outcomes such as cycle time, effort, quality, adoption and operating cost, and continuously improve delivered solutions using operational data and user feedback.
• Generalize: Turn successful solutions into reusable components, integration patterns, reference architectures and platform capabilities that accelerate future RDE engagements.

Skills

Stakeholder embedding

Strong communication

APIs & integrations

Automation design

Problem solving

Tools

Power Automate

Copilot Studio

Azure OpenAI

Azure Functions

Azure Logic Apps

Microsoft Graph

Teams

SharePoint

Power BI

Job description

About the role

As an AI and Automation Engineer, Lead in our Rearward Deployed Engineering (RDE) group, you will embed with an existing corporate-function team to understand how work gets done and deliver practical AI, automation and integration solutions. You will build trust, ask incisive questions, present ideas clearly and take solutions from discovery through production and continuous improvement. Assignments may include Marketing, Finance, Risk, Compliance, Human Resources, Legal, Product, Operations or Technology.

Your key responsibilities

• Discover: Embed with business teams, build effective working relationships, observe work and ask the right questions to identify high-value opportunities, process constraints, data-quality issues and desired outcomes.
• Design: Translate business needs into secure, scalable solution designs that use the appropriate combination of deterministic automation, integrations, AI assistants or agents, durable workflows and human decision-making.
• Build: Create AI-enabled workflows, applications, APIs and integrations using approved enterprise technologies, and communicate prototypes, recommendations and technical trade-offs clearly to business and technical audiences.
• Operationalize: Test, deploy and support production solutions with appropriate attention to security, reliability, observability, data quality, maintainability, exception handling and operational ownership.
• Measure and improve: Establish baselines, measure outcomes such as cycle time, effort, quality, adoption and operating cost, and continuously improve delivered solutions using operational data and user feedback.
• Generalize: Turn successful solutions into reusable components, integration patterns, reference architectures and platform capabilities that accelerate future RDE engagements.

Required qualifications

• Hands-on engineering experience delivering enterprise workflow automation, integrations, AI-enabled applications or data-driven solutions into supported production use.
• Practical experience using generative AI, workflow automation or agent-development platforms to improve business processes.
• Strong programming or scripting skills, with experience working with APIs, structured data, system integrations and stateful or event-driven workflows.
• Excellent written, verbal and facilitation skills, with the ability to embed within an existing team, build trust, ask incisive questions, listen actively and present ideas, prototypes and technical trade-offs clearly.
• Strong problem-solving and delivery skills, with the ability to work directly with business and technical stakeholders through ambiguity.

Preferred qualifications

• Experience supporting corporate functions such as Marketing, Finance, Risk, Compliance, Human Resources, Legal, Product, Operations or Technology through automation and process improvement.
• Experience with Microsoft Power Automate, Copilot Studio, Azure OpenAI, Azure Functions, Azure Logic Apps, Microsoft Graph, Teams, SharePoint, Power BI or comparable enterprise technologies.
• Experience designing durable, stateful workflows using Azure Durable Task, Durable Functions, Azure Logic Apps or comparable orchestration frameworks.
• Familiarity with Model Context Protocol, AI gateways, MCP gateways, agent tool integration, enterprise knowledge and search, or document intelligence.

The impact youll make

You will turn emerging AI and automation capabilities into practical solutions that reduce repetitive effort, shorten cycle times and improve quality and reliability. By combining embedded discovery, hands-on engineering and reusable platform thinking, you will help corporate functions improve everyday work while enabling future RDE engagements to deliver value faster.

What we offer you

Ready to build what's nextAt FIS, you'll have the opportunity to grow your career, contribute your ideas, and help create technology that powers the global economy. Our benefits include:

• Opportunities to innovate in fintech
• Tools for personal and professional growth
• Internal career growth opportunities
• An inclusive and diverse work environment
• Resources to invest in your community

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the .

Sourcing Model

#pridepass