GenAI & Agentic AI Consultant

Infosys•Dallas, TX

About The Position

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. 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.

Requirements

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.
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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

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.

Responsibilities

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.
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.