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Senior Machine Learning Architect

Actively Reviewing the Applications

r3 Consultant

India Full-Time On-site INR 20–35 LPA
Posted 18 hours ago Apply by June 15, 2026

Job Description

Description

we’re looking for Engineers and Architects capable of using generative AI and other ML techniques

to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

As a Senior Cloud AI/ML Architect, you'll partner with technology and business teams to build

solutions that surprise and delight our customers. You will work directly with customers and

innovate in a fast-paced organization that contributes to game-changing projects and technologies.

Key job responsibilities:

  • Collaborate with AWS Account Managers, solutions architects, and customers to define and scope

AI/ML use cases.

  • Understand customer business problems and assist in implementing AI solutions,
  • including generative AI
  • Develop and deliver compelling technical demonstrations for business and technical leaders
  • Design and architect state-of-the-art AI/ML solutions that transform business capabilities
  • Extract and share best practices, reference architectures, and patterns for reuse within the

company.

  • Prototype and validate innovative AI solutions across diverse industry verticals

About The Team

Aivar helps AWS customers accelerate the use of AI/ML, Generative AI and realize transformational

business opportunities. The cross-functional team consists of ML scientists, engineers, architects,

and strategists working step-by-step with customers to build bespoke solutions.

Preferred Technical Qualifications

  • 10+ years of design, implementation, or consulting in applications and infrastructure

experience (e.g. software development, cloud computing, systems engineering, infrastructure,

security, networking, data & analytics)

  • Experience using managed AI/ML services and solutions
  • Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services

(e.g. SageMaker, Inference, MLOps, ETL, S3, Glue, Redshift, Athena, Bedrock, Lake

Formation)

  • Strong experience in applying machine learning models for business application with a

performance and cost optimized mindset

  • Strong programming skills in Python, TypeScript, Java or related language
  • Strong understanding of AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn,

Keras

  • Demonstrated track record of learning emerging AI/ML and Generative AI technologies
  • Experience working across varied business environments (enterprises, startups)
  • Experience conveying complex subject matter to customers and stakeholders in written and verbal

formats

  • Deep understanding of generative AI technologies and large language models
  • Portfolio showcasing innovative AI/ML solutions

Preferred Soft Skills

Collaboration Skills:

  • Proven ability to work effectively with diverse teams, including AWS Account Managers,

solutions architects, and customers.

  • Experience fostering partnerships in varied business environments, such as enterprises and

startups.

Exceptional Communication:

  • Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders.
  • Strong presentation skills, with a track record of delivering compelling technical demonstrations

for business leaders.

Innovative Problem-Solving:

  • Demonstrated ability to tackle unique, never-before-solved challenges with innovative AI/ML

solutions.

  • Adept at understanding and addressing customer business problems through tailored AI solutions.

Adaptability and Continuous Learning:

  • Capacity to learn and apply emerging AI/ML technologies in a fast-paced, evolving environment.
  • Proven ability to stay updated with the latest trends and advancements in generative AI and

machine learning.

Leadership and Mentorship:

  • Experience mentoring team members and fostering a culture of innovation and excellence.
  • Ability to extract and share best practices, reference architectures, and patterns to improve team

capabilities.

Certifications

  • AWS Certified Solutions Architect – Associate
  • AWS Certified Solutions Architect – Professional
  • AWS Certified Developer – Associate (optional)
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Data Analytics – Specialty
  • AWS Certified AI Practitioner (optional but valuable)
  • AWS Certified Database – Specialty (optional but valuable)
  • AWS Certified Security – Specialty (optional but valuable)
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