GenAI & Agentic AI Consultant

Infosys; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

401(k) plan and employer contributions

Paid holidays plus Paid Time Off

Employee benefits program

Job summary

Infosys DNA is seeking a Data Science Project Lead 2 to drive analytics projects from scope to delivery, enabling measurable business impact. You will guide cross‑functional teams, manage stakeholders, and shape both business and technical requirements for scalable AI solutions.

Join a global leader leveraging AI and analytics to transform enterprise data into actionable insights, with opportunities to influence project economics and cultivate learning across the organization.

Qualifications

• Experience in AI/ML and GenAI/LLM implementation.
• Solution architecture with hands‑on delivery leadership for production‑grade AI systems.
• Proven experience in pre‑sales: proposals, RFPs, estimations, solution workshops, and stakeholder presentations.

Responsibilities

• Define project scope, goals, and deliverables that support business goals with stakeholders.
• Monitor project performance reports providing progress, challenges, and outcomes.
• Establish and maintain relationships with client stakeholders and provide project updates.
• Facilitate end-to-end delivery and implementation of analytics projects and technologies.

Skills

AI/ML experience

GenAI/LLM

Solution architecture

Delivery leadership

Pre-sales

Education

Bachelor's degree

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

In the assigned Job Role of Data Science Project Lead 2, your Area Of Responsibility will be as below:

• Define project scope, goals, and deliverables that support business goals in collaboration with internal and client stakeholders.
• Monitor project performance reports that provide insights into progress, challenges, and outcomes.
• Establish and maintain relationships with mid-level and senior client stakeholders and provide update on project progress.
• Facilitate end-to-end delivery and implementation of analytics projects and technologies by shaping business and technical requirements, guiding teams, overseeing integration, and ensuring solutions are scalable, stable, and deliver measurable business impact.
• Proactively identify potential risks and issues that could affect project success. Implement mitigation strategies for identified risks.
• For analytics projects, develop project estimates in line with project scope, approach, milestones and manage change requests.
• Monitor estimates v/s actuals and oversee the allocation and management of project resources, including personnel, technology, and budget, to maximize efficiency and effectiveness.
• Assist in preparing analytical and commercial proposals for upcoming client engagements.
• Develop resource plans and define role requirements that anticipate future project needs and address potential shortages in analytical resources.
• Conduct performance appraisals for team members.
• Lead scope changes and manage client requirements, ensuring proper estimation, approval, and contractual updates.

Your Contribution To The Team

• Demonstration of strategic mindset for delivering impactful, client-aligned projects.
• Problem-solving expertise and ability to steer project economics and delivery.
• Strong relationship with mid and senior level client stakeholders.
• Strong leadership abilities to foster team performance and growth.
• Commitment to cultivating a culture of learning and innovation.

Required Skill And Experience

• Experience in AI/ML and GenAI/LLM/Agentic AI implementation.
• Strong experience in solution architecture + hands‑on delivery leadership for production‑grade AI systems.
• Proven experience in pre‑sales: proposals, RFPs, estimations, solution workshops, and stakeholder presentations.

Preferred Skill And Experience

• Expertise in LLMs and enterprise GenAI patterns, RAG pipelines, vector search, reranking, evaluation frameworks and Agent frameworks: LangChain, LlamaIndex, AutoGen, CrewAI (or equivalent)
• Strong understanding of data engineering patterns for AI‑ ingestion, governance, lineage, metadata, PII controls.

Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits

• Medical/Dental/Vision/Life Insurance
• Long‑term/Short‑term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.