Lead AI Engineer

Alight Solutions; Ernakulam; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Alight Solutions in Kochi, Kerala, India seeks a Lead AI Engineer to design, build and operationalize enterprise GenAI solutions. This hands-on technical leadership role focuses on forecasting, planning, performance visibility and executive decision support, leveraging structured commercial data and enterprise knowledge.

You will create predictive models, AI agents and automated workflows, integrate Salesforce and BI tools, and ensure secure, governed AI for critical business decisions.

Qualifications

• 6+ years in software engineering, data engineering, AI/ML engineering or related field.
• Experience designing, building and deploying GenAI/agentic AI/RAG solutions.
• Hands-on forecasting, time-series modelling, feature engineering and model monitoring.

Responsibilities

• Design, build, test, deploy and improve enterprise GenAI and ML solutions.
• Partner with leaders to identify AI opportunities based on value and risk.
• Establish success measures and guide iteration, scaling or retirement decisions.
• Architect scalable LLM apps, AI agents, RAG systems and integration patterns.
• Develop Python applications, APIs, microservices and reusable components.
• Design ingestion, embeddings, semantic/hybrid search and knowledge-grounding.

Skills

GenAI

Agentic AI

Python

LLMs

Time-series modelling

Forecasting

Data visualization

Education

Bachelor’s degree or equivalent

Tools

AWS

Azure

GCP

Containers

CI/CD

Git

Kubernetes

Job description

Analytics & Business Intelligence Regular Kochi, Kerala, India

Alight is seeking a Lead AI Engineer to design, build and operationalize enterprise AI solutions for Business Health, Commercial and Finance. Based in India, this hands-on technical leadership role will improve forecasting, planning, performance visibility and executive decision support.

You will combine structured commercial and financial data with enterprise knowledge to create predictive models, AI agents, retrieval solutions and automated workflows that help leaders understand performance, anticipate risk and act faster.

• Improve forecast accuracy and risk visibility through predictive models, opportunity-movement analysis and scenario planning.
• Support bookings, territory, quota and capacity planning using pipeline coverage, conversion, deal-size and sales-cycle assumptions.
• Create Business Health scorecards and executive narratives across plan, forecast, pipeline, bookings, renewals, client risk, cost and margin.
• Automate recurring Commercial and Finance analysis, MBR/QBR preparation and action tracking.
• Build pricing, comparable-customer, market and closed-lost analytics for renewals, pursuits and account planning.
• Connect Salesforce, Clari, Power BI and enterprise content through governed GenAI, RAG and agentic workflows.
• Establish traceable, secure and evaluated AI for commercially and financially significant decisions.

Responsibilities

• Design, build, test, deploy and continuously improve enterprise GenAI, agentic AI and machine-learning solutions.
• Partner with business and technology leaders to identify and prioritize AI opportunities based on value, feasibility, risk and expected outcomes.
• Establish success measures and value hypotheses, then use results to guide iteration, scaling or retirement decisions.
• Architect scalable LLM applications, AI agents, RAG systems, predictive solutions and supporting data and integration patterns.
• Develop high-quality Python applications, APIs, microservices, integrations and reusable components.
• Design and optimize ingestion, chunking, embeddings, semantic and hybrid search, vector retrieval, grounding and knowledge-management patterns.
• Build AI agents that securely use enterprise data, tools, APIs, memory, orchestration and human-in-the-loop controls.
• Define evaluation approaches for accuracy, relevance, groundedness, safety, robustness, latency, scalability and business effectiveness.
• Implement CI/CD, observability, logging, monitoring, incident response, versioning, and performance and cost optimization.
• Apply security, privacy, governance, explainability, auditability and human oversight throughout the solution lifecycle.
• Create reference architectures, reusable patterns, coding standards, documentation expectations and AI engineering best practices.
• Lead technical workstreams, conduct architecture and code reviews, mentor engineers, and communicate decisions, risks, trade-offs and results.

Required Qualifications

• 6+ years in software engineering, data engineering, AI/ML engineering or a related discipline, supported by a bachelor’s degree in a relevant field or equivalent practical experience.
• Demonstrated experience designing, building and deploying GenAI, agentic AI, RAG or machine-learning solutions tied to defined outcomes.
• Strong understanding of machine learning algorithms and time-series modelling, with hands-on experience in forecasting, trend analysis, feature engineering, model training, evaluation, deployment and monitoring across the ML lifecycle.
• Strong knowledge of LLMs, prompt and context engineering, tool calling, orchestration, memory, multi-agent patterns and human-in-the-loop design.
• Experience with embeddings, vector databases, semantic or hybrid search, document processing, knowledge retrieval and grounded generation.
• Advanced Python skills and experience building production APIs, microservices, integrations, automated tests and maintainable software components.
• Experience deploying AI solutions on AWS, Azure or GCP using containers, Git, CI/CD, logging and monitoring.
• Experience evaluating and monitoring AI systems across quality, reliability, safety, security, privacy, model risk, performance, cost and business impact.
• Strong system-design, problem-solving, collaboration and communication skills.
• AWS Bedrock, SageMaker or comparable enterprise AI services.
• LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen or equivalent frameworks.
• Commercial and open-source model ecosystems.
• Complex, security-conscious or regulated enterprise environments.
• Reusable AI platforms, accelerators or reference architectures.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.

Please do not use generative AI tools during the application process. We aim to understand your genuine interest in our company without the use of generative AI systems, and we also want to evaluate your non-generative AI assisted communication skills. Any use of generative AI tools in violation of this request may result in disqualification from consideration for the position. Under Department of Labor Regulations (29 CFR Part 471) federal contractors and subcontractors are required to inform employees of their rights under the National Labor Relations Act

Role Summary

Alight is seeking a Lead AI Engineer to design, build and operationalize enterprise AI solutions for Business Health, Commercial and Finance. Based in India, this hands-on technical leadership role will improve forecasting, planning, performance visibility and executive decision support.

You will combine structured commercial and financial data with enterprise knowledge to create predictive models, AI agents, retrieval solutions and automated workflows that help leaders understand performance, anticipate risk and act faster.

Key Opportunity

• Improve forecast accuracy and risk visibility through predictive models, opportunity-movement analysis and scenario planning.
• Support bookings, territory, quota and capacity planning using pipeline coverage, conversion, deal-size and sales-cycle assumptions.
• Create Business Health scorecards and executive narratives across plan, forecast, pipeline, bookings, renewals, client risk, cost and margin.
• Automate recurring Commercial and Finance analysis, MBR/QBR preparation and action tracking.
• Build pricing, comparable-customer, market and closed-lost analytics for renewals, pursuits and account planning.
• Connect Salesforce, Clari, Power BI and enterprise content through governed GenAI, RAG and agentic workflows.
• Establish traceable, secure and evaluated AI for commercially and financially significant decisions.

Responsibilities

• Design, build, test, deploy and continuously improve enterprise GenAI, agentic AI and machine-learning solutions.
• Partner with business and technology leaders to identify and prioritize AI opportunities based on value, feasibility, risk and expected outcomes.
• Establish success measures and value hypotheses, then use results to guide iteration, scaling or retirement decisions.
• Architect scalable LLM applications, AI agents, RAG systems, predictive solutions and supporting data and integration patterns.
• Develop high-quality Python applications, APIs, microservices, integrations and reusable components.
• Design and optimize ingestion, chunking, embeddings, semantic and hybrid search, vector retrieval, grounding and knowledge-management patterns.
• Build AI agents that securely use enterprise data, tools, APIs, memory, orchestration and human-in-the-loop controls.
• Define evaluation approaches for accuracy, relevance, groundedness, safety, robustness, latency, scalability and business effectiveness.
• Implement CI/CD, observability, logging, monitoring, incident response, versioning, and performance and cost optimization.
• Apply security, privacy, governance, explainability, auditability and human oversight throughout the solution lifecycle.
• Create reference architectures, reusable patterns, coding standards, documentation expectations and AI engineering best practices.
• Lead technical workstreams, conduct architecture and code reviews, mentor engineers, and communicate decisions, risks, trade-offs and results.

Required Qualifications

• 6+ years in software engineering, data engineering, AI/ML engineering or a related discipline, supported by a bachelor’s degree in a relevant field or equivalent practical experience.
• Demonstrated experience designing, building and deploying GenAI, agentic AI, RAG or machine-learning solutions tied to defined outcomes.
• Strong understanding of machine learning algorithms and time-series modelling, with hands-on experience in forecasting, trend analysis, feature engineering, model training, evaluation, deployment and monitoring across the ML lifecycle.
• Strong knowledge of LLMs, prompt and context engineering, tool calling, orchestration, memory, multi-agent patterns and human-in-the-loop design.
• Experience with embeddings, vector databases, semantic or hybrid search, document processing, knowledge retrieval and grounded generation.
• Advanced Python skills and experience building production APIs, microservices, integrations, automated tests and maintainable software components.
• Experience deploying AI solutions on AWS, Azure or GCP using containers, Git, CI/CD, logging and monitoring.
• Experience evaluating and monitoring AI systems across quality, reliability, safety, security, privacy, model risk, performance, cost and business impact.
• Strong system-design, problem-solving, collaboration and communication skills.
• AWS Bedrock, SageMaker or comparable enterprise AI services.
• LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen or equivalent frameworks.
• Commercial and open-source model ecosystems.
• Complex, security-conscious or regulated enterprise environments.
• Reusable AI platforms, accelerators or reference architectures.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.

Alight is a leading benefits administration provider of health, wealth, leave and point solutions for many of the world’s largest organizations and over 30 million people. Through the administration of employee benefits, Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. Our Alight Worklife platform empowers employers to gain a deeper understanding of their workforce and engage them throughout life’s most important moments with personalized benefits management and data-driven insights, leading to increased employee wellbeing, engagement and productivity. Learn more at alight.com.