Manager-Workflow Architect / Applied AI
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Description
Job Summary
An AI Workflow Architect / Applied AI Lead with 6-10 years of experience on design, orchestrate, and govern complex AI-driven workflows. This role focuses on agentic systems, multi-step reasoning orchestration, prompt and system architecture, and quality control across AI-native platforms. The individual will play a critical role in translating research and analytical processes into robust, scalable, and evaluable AI workflows using platforms such as Copilot, GPT, Claude, Hebbia, and similar systems.
Key Responsibilities
- As a Microsoft Apps Solutions Architect, you will lead the design and delivery of enterprise grade AI solutions using technologies such as Power Platform, Copilot Studio, Azure AI, and Microsoft 365.
- Design and implement end-to-end AI workflows that can scale, cover how systems think, make decisions, and execute tasks.
- Convert business and research requirements into practical AI-driven solutions, with clear and client-friendly explanations.
- Define structured prompts, system instructions, and control logic to ensure consistent and reliable AI outputs.
- Build and standardize reusable components such as prompt libraries, workflow templates, and governance guidelines.
- Implement robust evaluation and validation frameworks, including test cases and benchmarks, to measure solution quality.
- Ensure accuracy and reliability using techniques like grounded data (RAG) and human review where needed.
- Make key architecture and platform decisions across AI tools and ecosystems, ensuring performance, scalability, and cost efficiency.
- Lead the transition of solutions from pilot to production, with a focus on monitoring, compliance, and operational stability.
- Collaborate closely with business stakeholders to ensure solutions are aligned to goals, easily adoptable, and deliver measurable impact.
· Core Competencies
- As a Microsoft Apps Solutions Architect, you will lead the design and delivery of enterprisegrade AI solutions using technologies such as Power Platform, Copilot Studio, Azure AI, and Microsoft 365.
- Design and implement end-to-end AI workflows that can scale, cover how systems think, make decisions, and execute tasks.
- Convert business and research requirements into practical AI-driven solutions, with clear and client-friendly explanations.
- Define structured prompts, system instructions, and control logic to ensure consistent and reliable AI outputs.
- Build and standardize reusable components such as prompt libraries, workflow templates, and governance guidelines.
- Implement robust evaluation and validation frameworks, including test cases and benchmarks, to measure solution quality.
- Ensure accuracy and reliability using techniques like grounded data (RAG) and human review where needed.
- Make key architecture and platform decisions across AI tools and ecosystems, ensuring performance, scalability, and cost efficiency.
- Lead the transition of solutions from pilot to production, with a focus on monitoring, compliance, and operational stability.
- Collaborate closely with business stakeholders to ensure solutions are aligned to goals, easily adoptable, and deliver measurable impact.
Leadership Perspective
Pallab Kumar Deb, CEO
“Domain knowledge is the hardest thing to build in the age of AI. We've spent 25 years building it, workflow by workflow, in industries where getting the details wrong is expensive. That's what domain-led AI firm means here. Not a layer of AI on top of generic services, but AI built into the specific judgment calls our clients face every day. If you want to build AI that changes how real work gets done, not AI that just looks good in a demo, this is where that happense.”
Nitin Garg, Executive Vice President for Corporate Investment Banking
“As we celebrate 25 years of Evalueserve, we reflect on a simple idea that started it all: delivering smarter insights and lasting value. Today, that vision is a global reality serving leading investment banks and advisory firms. Looking ahead, we’re scaling intelligence with AI embedding technology into every workflow to deliver insights that are accurate, actionable, and transformative.”
Why Join Evalueserve?
Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work—and today, we are pushing the frontier further with generative and agentic AI.
We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.
Recent Awards and Recognitions
- AIM Research 2025: Top 10 of the “20 Best Firms for Women in Tech"
- Forrester Wave 2024: Leader in Market & Competitive Intelligence Platform
- Chartis Research 2024: Category Leader in Credit Portfolio Management
- Credit Strategy Lending Awards 2024: Winner, “Best Technology Partner
- Banking Tech Awards 2024: Highly Commended, “Best LendTech"
Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
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