Business Analysis of As-Is to Reimagined Workflows
Design Solution Features & Functionalities
Solution Lifecycle Management: Discovery-Prototype-Production Delivery-Enhancements-Scaling-DevSecOps
Operations & Functional Stakeholders’ Interfacing
Accountability of Business Case definition, metrics, targets and realisation
Solution Packaging, Business & Client’s Showcasing
Aligned to the Forward Deployment Engineering (FDE), who is a hands-on, stakeholder-facing who operates at the intersection of engineering, product, and delivery – embedding directly with functional teams to re-imagine, discover, and design AI solutions for production environments
Position Title, Responsibility Level
AI Solutions Leads
Enterprise AI
Reports to
VP / SVP – Enterprise AI
Permanent
6-10 Years
NCR/Bengaluru/Hyderabad
Business Analysis of As-Is to Reimagined Workflows
Design Solution Features & Functionalities
Solution Lifecycle Management: Discovery-Prototype-Production Delivery-Enhancements-Scaling-DevSecOps
Operations & Functional Stakeholders’ Interfacing
Accountability of Business Case definition, metrics, targets and realisation
Solution Packaging, Business & Client’s Showcasing
Aligned to the Forward Deployment Engineering (FDE), who is a hands-on, stakeholder-facing who operates at the intersection of engineering, product, and delivery – embedding directly with functional teams to re-imagine, discover, and design AI solutions for production environments
1. AI-First Solution Engineering
Work with stakeholders’ and EXL delivery teams to deeply understand business workflows, data landscapes, and systems, and translate business problems into technical AI solution designs.
Rapidly build AI prototypes, POCs, and pilots, and take them through to production deployment and enterprise adoption
Configure, customize, and extend EXL’s AI platforms and accelerators to fit business-specific contexts and constraints.
2. Agentic AI & AI Solution Development
Design and build agentic workflows, advances RAG pipelines, LLM integrations, tool-using agents, and human-in-the-loop systems
Apply prompt engineering, evaluation frameworks, and fine-tuning techniques to achieve accuracy, reliability, and safety targets.
Integrate AI solutions with enterprise systems (APIs, data platforms, CRMs, contact center and core operations systems).
3. Deployment, Integration & Production Ownership
Own end-to-end deployment environment setup, CI/CD, LLMOps/MLOps, monitoring, guardrails, and observability.
Ensure solutions are secure, compliant, and production-grade, aligned with responsible AI, privacy, and EXL security standards.
Troubleshoot live systems and continuously optimize for latency, cost, quality, and scale
4. Stakeholder Engagement & Value Realization
Act as a trusted technical advisor to stakeholders; lead demos, workshops, and technical deep dives.
Define success metrics and demonstrate measurable outcomes productivity gains, cost reduction, risk mitigation, and revenue uplift.
Capture field feedback and channel it into EXL’s platform and product roadmaps
5. Collaboration & Knowledge Sharing
Collaborate closely with platform engineering, data science, and delivery teams across geographies.
Create reusable assets, accelerators, playbooks, and documentation from multiple deployments.
Mentor engineers and evangelize best practices in applied and agentic AI across accounts.
Strong hands-on software engineering skills (Python and/or TypeScript), including APIs, microservices, and cloud-native development on AWS, Azure, or GCP
Practical experience building with agentic AI frameworks such as LangGraph, LangChain, CrewAI and emerging standards like MCP (Model Context Protocol)
Deep working knowledge of foundation models and platforms, including OpenAI, Anthropic Claude, and open-source LLM stacks; strong grasp of RAG, embeddings, and vector databases
Experience with LLMOps/MLOps evaluation, monitoring, guardrails, versioning, and cost/performance optimization in production.
Exposure to multimodal AI technologies (voice, avatar, video) using platforms like ElevenLabs and HeyGen
Fluency with AI-native developer tools such as Cursor, Replit, Claude Code, and related copilots.
Ability to design solutions within enterprise-grade architecture, security, and responsible AI guardrails, balancing scalability, cost, and compliance.
High POC-to-production conversion and rapid deployment velocity across engagements.
Tangible business outcomes – productivity, cost, quality, and revenue impact – attributable to deployed solutions.
Reusable solution assets and accelerators adopted across multiple accounts, not one-off builds.
Strong production reliability, security, and responsible AI compliance posture for deployed solutions.
High satisfaction and expansion of EXL’s AI footprint within assigned accounts.
4–8 years of experience in software engineering, applied AI/ML, or solution engineering, with 2+ years of hands-on GenAI/LLM development
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Proven track record of:
Shipping production GenAI/agentic AI solutions for enterprise functions
Working directly with business stakeholders in consulting, forward-deployed, or solution engineering roles
Delivering measurable business outcomes from AI deployments
Strong understanding of:
Agentic AI and LLM architectures, RAG, and evaluation
Data platforms, cloud, security, and compliance
Enterprise integration and legacy system modernization
Willingness to travel and work onsite at business locations as required.
Owner’s mindset with a strong bias for action and outcome orientation.
Comfort with ambiguity, rapid iteration, and fast-changing environments
Exceptional communication skills – able to translate deep technical work into business value for executives.
Collaborative, and AI-first working style across diverse teams.
Deep commitment to responsible AI and ethical deployment
Forward Deployment Engineers are the bridge between EXL’s AI platforms and real value – proving AI works in production, not just in demos.
This role directly shapes how EXL builds, deploys, and scales AI, accelerating the journey to an AI-native enterprise partner.
Bachelor of Masters degree in Computer Science, Finance, Human Resources, Business Management
Certification in Oracle Fusion (ERP, PPM, EPM, HCM, SCM), Salesforce (Sales CRM, CPQ), Microsoft (Azure, Power BI, Sharepoint), ServiceNow other relevant Core Systems. Project Management, Digital Transformation Min 10 years
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
