AI Engineer

Job Posting Title

AI Engineer - AI & Innovation

Job Description Summary

The AI Engineer will lead a team of analysts and engineers to design, develop, and

deploy AI-driven solutions that address complex business challenges. This role

requires a blend of technical expertise, strategic thinking, and leadership skills to

ensure successful delivery of AI projects and alignment with organizational goals.

Job Description

Location – Hyderabad  #LI Hybrid

Key Responsibilities

 Lead and oversee technical delivery of AI projects, ensuring best practices

in engineering and sustainable solutions.

 Collaborate with business stakeholders to gather requirements and

translate them into actionable AI strategies.

 Identify and mitigate risks across project lifecycles, ensuring compliance

and quality standards.

 Stay ahead of emerging technology trends and assess their applicability for

business innovation.

 Represent the AI team in executive discussions and external forums as

needed. Guide the team on data sourcing strategies and ensure robust data

governance.

 Should have experience in testing AI products from AI landscape of Risk,

Compliance, Jail breaking, Performance etc. Ensure high-quality outputs

and timely delivery of AI solutions.

 Drive innovation by researching market trends and proposing new AI-

driven approaches to business problems.

Requirements

 Education: Bachelor’s/Master’s in Computer Science, Data Science, or

related field.

 Experience: 5–7 years in AI/ML, data engineering, or analytics, with at least 2

years in a leadership role.

 Strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow,

PyTorch).

 Hands-on experience with cloud platforms (AWS, Azure) and tools like

Databricks, SageMaker.

 Proven track record in deploying AI models as services using Azure ML,

Kubernetes, and GitHub for version control.

 Deep understanding of either of Azure AI services or Microsoft Bedrock,

NLP, computer vision, and generative AI models (e.g., GPT).

 Ability to work and collaborate with enterprise architects.Strong business

acumen to identify areas where AI can deliver measurable impact.

 Excellent communication and stakeholder management skills to bridge

technical and business teams.

 Experience in MLOps practices and model lifecycle management.

 Familiarity with transformers and LLMs for advanced AI applications. Ability

to mentor and develop team members, fostering a culture of innovation and

collaboration.