Experience
5 - 10 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Artificial Intelligence Engineer
Job Type
ONSITE
Job Description
What You Will Do
- Partner with engineering, product, cloud, security, operations, and business teams to identify practical AI opportunities and support implementation from concept through delivery.
- Provide hands-on technical guidance for AI initiatives, including solution design, architecture trade-offs, integration patterns, and implementation best practices.
- Develop and maintain reusable AI reference architectures, implementation guides, design patterns, sample solutions, and enablement materials.
- Contribute to AI standards, governance practices, and responsible AI guidance in partnership with architecture, security, legal, privacy, and compliance stakeholders.
- Help define practical guidance for the use of approved AI platforms and open source LLM models, including security, compliance, evaluation, and operational considerations.
- Support architecture reviews for AI initiatives and provide recommendations that improve scalability, reliability, maintainability, observability, and responsible AI practices.
- Create and deliver AI training, workshops, demos, office hours, and communities of practice to help teams build confidence and capability with AI technologies.
- Work with product development, support, and internal teams to integrate AI capabilities into workflows that improve productivity, product capabilities, and customer experiences.
- Collaborate with cloud and platform teams to provide input into shared AI platform capabilities, reusable services, and developer enablement needs.
- Promote AI development best practices, including testing, evaluation, monitoring, observability, cost awareness, and operational readiness.
- Help establish lightweight processes to track AI usage, cost, adoption, lessons learned, and continuous improvement opportunities.
- Partner with teams to define success measures for AI initiatives, including productivity gains, quality improvements, customer impact, and operational efficiency.
- Stay current on emerging AI technologies, tools, and practices, and translate relevant trends into practical recommendations for engineering and business teams.
- Mentor and coach team members on practical AI adoption, responsible implementation, and effective use of AI tools in day-to-day work.
What You Will Need to Succeed
- 5+ years of experience in Software Engineering, architecture, cloud architecture, or enterprise architecture.
- 2+ years of experience designing, implementing, or enabling AI and/or machine learning solutions.
- Strong understanding of Generative AI, Large Language Models (LLMs), AI Agents, RAG architectures, and prompt engineering.
- Experience with Azure AI Services, OpenAI, Claude, AWS Bedrock, Google Vertex AI, or similar AI platforms.
- Strong knowledge of modern software engineering practices, APIs, cloud-native architectures, and SaaS platforms.
- Experience developing enterprise standards, governance frameworks, and architectural guidance.
- Understanding of AI security, privacy, compliance, and responsible AI principles.
- Experience with DevOps, MLOps, and AI operational practices.
- Strong facilitation, mentoring, and stakeholder management skills.
- Excellent communication and presentation skills for both technical and non-technical audiences.
- Ability to influence without direct authority and drive organizational change.
Desired Skills
- Experience leading AI transformation or enablement initiatives across large organizations.
- Experience implementing AI Centers of Excellence (CoE).
- Azure and AWS Certifications focused on AI like Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or equivalent certifications.
- Experience with enterprise SaaS products and cloud platforms.
- Experience creating training programs and technical enablement materials.
- Familiarity with ERP, supply chain, manufacturing, distribution or enterprise business applications is a great plus!