Data Platform Engineer

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Science
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
SUMMARY:
We are seeking a Senior Technical – Gen AI Lead with deep expertise in Python, AI/ML
concepts, and data engineering to spearhead the design and development of Data Agents
powered by Agentic AI. As a senior technical leader, you will drive solution architecture,
guide teams, and ensure the successful delivery of AI-enabled initiatives that align with
business goals.
The ideal AI Lead combines technical excellence, leadership ability, prompt engineering
skills, and a strong product mindset to ensure solutions are impactful, scalable, and
business driven.
ROLES AND RESPONSIBILITIES:
1. Solution Architecture & Delivery
Lead the design, architecture, and implementation of AI-enabled solutions powered
by Agentic AI.
Ensure scalability, reliability, and alignment of solutions with business objectives.
2. Team Leadership & Guidance
Mentor and guide cross-functional teams in AI/ML, data engineering, and product
development.
Foster a collaborative environment that drives innovation and high-quality delivery.
3. AI/ML & Data Engineering Expertise
Spearhead the development of intelligent Data Agents leveraging Python, AI/ML
models, and scalable data pipelines.
Apply advanced prompt engineering techniques to optimize the performance of
LLMs and agentic workflows.
4. Collaboration & Stakeholder Engagement
Work closely with product managers, data scientists, and engineering teams to
define AI-driven use cases.
Translate business goals into technical requirements and actionable AI solutions.
5. Innovation & Emerging Technologies
Stay ahead of trends in Gen AI, Agentic AI, ML, and autonomous systems.
Introduce best practices, frameworks, and tools to enhance solution effectiveness
and maintain competitive advantage.
6. Business-Driven Mindset
Align AI solutions with organizational strategy to maximize impact and business
value.
Ensure delivered solutions are scalable, secure, and capable of driving measurable
business outcomes.
TECHNICAL EXPERIENCE:
Min 7 years of professional experience in the required skills - having min 2 years of
Gen AI experience
Lead the design and development of Data Agents leveraging Agentic AI principles,
Python, and AI/ML frameworks.
Strong expertise in Python and Py Spark for large-scale data engineering. Solid
foundation in AI/ML concepts (e.g., supervised/unsupervised learning,
reinforcement learning, LLMs).
Experience architecting and deploying AI-driven solutions in production
environments.
Proven leadership skills in managing teams, mentoring talent, and leading technical
delivery.
Strong prompt engineering skills to refine LLM interactions and improve system
outcomes.
Excellent communication and stakeholder management skills, with the ability to
bridge business and technology.
Product mindset with a focus on usability, scalability, and delivering business
impact.
Growth mindset and adaptability to thrive in an evolving digital and AI landscape
Define and own the technical architecture for scalable, secure, and efficient agent
driven systems.
Apply prompt engineering techniques to optimize LLM performance and enhance
agent effectiveness.
Guide and mentor analysts and developers in Python, Py Spark, AI/ML best
practices, and agentic system design.
Partner with product managers, data scientists, and business stakeholders to
translate requirements into AI-driven solutions.
Drive a product-oriented approach, ensuring AI agents deliver measurable value
aligned with business outcomes.
Ensure code quality, performance optimization, and adherence to engineering best
practices.
Stay ahead of emerging trends in Agentic AI, LLMs, and autonomous systems to
bring innovation into practice.
Lead proofs-of-concept (POCs) and enterprise-scale implementations of AI-based
automation.
ADDITIONAL ATTRIBUTES:
Hands-on experience with LLM frameworks (e.g., Lang Chain, Llama Index) and
Agentic AI orchestration tools.
Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
Exposure to data governance, security, and compliance practices in enterprise AI
systems.
Experience with visualization and reporting tools to support data-driven decision
making.
EDUCATION QUALIFICATIONS:
A 15-year full-time education is required

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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