Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have

skills:
Responsible AI Good to have

skills:
NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI Infrastructure Architect, a typical day involves designing and constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific project requirements. This role focuses on enhancing the performance, energy efficiency, and cost-effectiveness of the computational environment while ensuring scalability to support evolving AI workloads. The position requires continuous evaluation of emerging technologies and vendors to recommend optimal solutions. Collaboration with various teams to integrate full-stack AI infrastructure seamlessly is a key aspect, ensuring that the architecture aligns with organizational goals and technological advancements. Roles &

Responsibilities:
• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.




• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of AI infrastructure strategies that align with business objectives.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth.
• Coordinate cross-functional efforts to ensure smooth integration of AI hardware and software components.
• Monitor and evaluate infrastructure performance metrics to identify areas for improvement and innovation. Professional & Technical

Skills:
• Must To Have

Skills:
Proficiency in Responsible AI.
• Experience with AI infrastructure optimization techniques including performance tuning, power management, and cost analysis.
• Robust understanding of hardware architectures and their impact on AI workloads.
• Ability to assess and select appropriate AI infrastructure technologies and vendors.
• Familiarity with full stack integration of AI hardware and software components.
• Capability to design scalable and efficient computational stacks tailored for AI applications. Additional Information:
• The candidate should have minimum 7.5 years of experience in Responsible AI.
• This position is based at our Hyderabad office.
• A 15 years full time education is required.

📌 Responsible AI Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad