Join AWS as an AI/ML & Generative AI Consultant – Cloud & AI Careers
Delivery Consultant – AI/ML and Generative AI (AWS Professional Services, GCC)
Location: Bangalore, Karnataka, India
Industry: AWS Professional Services
Job Role: AI/ML and Generative AI Consultant
Job Type: Full-time
Job ID: 2941026 | AWS ProServe IN – Karnataka
Become an AWS Professional Services Delivery Consultant.
Are you a seasoned technology expert interested in AI/ML and generative AI? Amazon Web Services (AWS) Professional Services (ProServe) seeks a highly qualified Delivery Consultant to assist customers in designing, implementing, and managing AWS solutions that meet their business objectives and technical needs.
As an AWS Delivery Consultant, you will be responsible for helping organizations migrate to AWS seamlessly through best practices, innovative cloud technologies, and AI/ML innovations. If you are well-versed in AWS services, cloud architecture, and AI-based solutions, this is your chance to accelerate digital transformation for businesses globally.
Key Responsibilities
As a delivery consultant in AI/ML and generative AI, your main responsibilities will be:
• Scalable AI Solution Design & Implementation—Design and implement AI/ML and generative AI solutions that meet specific customer needs while maintaining security, scalability, and efficiency.
• Technical Consultation & Troubleshooting – Offer technical consultation and troubleshooting services during the project life cycle.
• AWS Cloud Migration Strategies—Evaluate current infrastructure, collect requirements, and suggest efficient cloud migration strategies for enterprise-scale adoption.
• Trusted AI/ML Advisor—Provide industry trends, upcoming AI/ML technologies, and creative generative AI applications insights.
• Knowledge Sharing & Mentorship—Share knowledge with the AWS community by providing training sessions, reusable assets, and mentorship initiatives.
About AWS Professional Services
AWS Professional Services is a worldwide group of professionals committed to assisting customers in achieving business transformation using cloud computing. Working in tandem with customers and the AWS Partner Network (APN), our professionals facilitate smooth enterprise cloud adoption and maximize AWS usage across different sectors.
Why Join AWS?
1. Work Alongside the World’s Best Cloud Experts
The world‘s largest and most actively used cloud platform, AWS, is adopted by startups as well as Fortune 500 corporations worldwide. Continuously innovating, AWS enables customers with cutting-edge technology like AI/ML as well as generative AI.
2. Diverse & Inclusive Workplace
AWS promotes a culture of inclusion and learning. Affinity groups and diversity programs led by employees like Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) make our workplace a place where everyone is valued.
3. Career Growth & Mentorship
We at AWS value career progression through knowledge exchange, mentorship opportunities, and experiential learning experiences. Our employees are given access to the best resources to help them grow professionally and emerge as industry experts.
4. Work-Life Balance
At AWS, we are aware of how essential it is to balance work and personal life. We embrace flexibility and a positive work environment that allows employees to excel both professionally and personally.
Basic Qualifications
To qualify for this position, applicants must have:
• Extensive knowledge of cloud architecture and implementation.
• A bachelor‘s degree in computer science, engineering, or a related field, or equivalent professional experience.
• Established track record in designing, developing, and deploying AI/ML and generative AI solutions.
• Experience in assessing, refining, and enforcing AI models for business purposes.
• Strong data modeling ability and broad knowledge of statistical analysis methods.
• Capability to derive insights from large datasets and leverage AI-led innovations in business solutions.
Preferred Qualifications
While not essential, the below are strongly preferred:
• Hands-on experience with AWS services like Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, and CloudFormation.
• Professional-level certifications like Machine Learning Specialty, Solutions Architect Professional, or Machine Learning Engineer Associate from AWS.
• Automation and scripting experience with tools such as Terraform and Python.
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
• Ability to clearly explain AI-related, complex topics to both technical and non-technical audiences.
• Foundation model development, LLM fine-tuning, and agentic AI system implementation experience.
• End-to-end deployment of AI/ML and deep learning solution expertise.
How to Apply
AWS is dedicated to hiring a diverse workforce and invites candidates from all backgrounds to apply. If you need accommodations during the application and interview process, please see AWS Hiring Accommodations for support.
AWS Professional Services is committed to enabling AI innovation and cloud adoption. If you love AI/ML, generative AI, and cloud computing, apply now and advance your AWS career!