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.