AI Solutions Architect

Solutions Architect – GenAI, AI/ML & AWS Cloud

Architect the Future of AI with goML

At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications - helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.

We’re looking for a Solutions Architect with deep expertise in designing AI/ML and GenAI architectures on AWS. In this role, you’ll be responsible for crafting scalable, high-performance, and cost-effective AI solutions - leveraging AWS AI/ML services, modern data infrastructure, and cloud-native best practices. If you thrive in architecting intelligent, data-driven systems and love solving complex technical challenges, we’d love to hear from you!

Why You? Why Now?

Generative AI is reshaping industries, and businesses are looking for scalable, cost-efficient, and production-ready AI/ML solutions. This role is perfect for someone who loves solutioning AI/ML workloads, optimizing cloud infrastructure, and working directly with clients to drive real-world impact.

At goML, you will:

• Own the architecture and solutioning of AI/ML and GenAI applications
• Work with sales & engineering leaders to scope customer needs & build proposals
• Design scalable architectures using AWS services like SageMaker, Bedrock, Lambda, and Redshift
• Influence high-impact AI/ML decisions while working closely with the co-founders

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Orientation

• Deep dive into goML’s AI/ML & GenAI solutions, architecture frameworks, and customer engagements
• Familiarize yourself with goML and AWS partnership workflows
• Work alongside sales leaders to understand customer pain points & proposal workflows
• Review and refine best practices for deploying AI/ML workloads on AWS
• Start contributing to solution architectures, and lead client discussions

First 60 Days: Execution & Impact

• Own customer AI/ML solutioning, including LLMOps, inference optimization, and MLOps pipelines
• Collaborate with engineering teams to develop reference architectures & POCs for AI workloads
• Build strategies to optimize AI/ML model deployment, GPU utilization, and cost-efficiency in AWS
• Assist in sizing and optimizing AWS infrastructure for AI/ML-heavy workloads
• Work closely with customers to translate GenAI and AI/ML requirements into scalable architectures

First 180 Days: Ownership & Transformation

• Lead AI/ML architectural decisions for complex enterprise-scale AI projects
• Optimize multi-cloud and hybrid AI/ML deployments across AWS, Azure, and GCP
• Mentor team members on best practices for GenAI & cloud AI deployments
• Define long-term strategies for AI-driven data platforms, model lifecycle management, and cloud AI acceleration
• Represent goML in technical conferences, blogs, and AI/ML meetups

What You Bring (Qualifications & Skills)

Must-Have:

• 5-8 years of experience designing AI/ML and data-driven architectures on AWS
• At least 2 years of hands-on experience in GenAI, LLMOps, or advanced AI/ML workloads
• Deep expertise in AWS AI/ML services (SageMaker, Bedrock, Lambda, Inferentia, Trainium)
• Strong knowledge of AWS Data Services (S3, Redshift, Glue, Lake Formation, DynamoDB)
• Experience in optimizing AI/ML inference, GPU utilization, and MLOps pipelines
• Excellent client-facing communication skills with experience in proposal writing

Nice-to-Have:

• Familiarity with Azure ML, GCP Vertex AI, and NVIDIA AI/ML services
• Experience in LangChain, RAG architectures, and multi-modal AI models
• Knowledge of MLOps automation, CI/CD for AI models, and scaling inference workloads

Meet Your Hiring Manager

You’ll report to Prashanna Hanumantha Rao, who runs practice teams, engineering, delivery, and operations for goML

Expect a high-autonomy, high-impact environment, working closely with the co-founders and senior leadership to drive AI/ML innovation at goML.

Why Work With Us?

• Remote-first, with offices in Coimbatore for in-person collaboration
• Work on cutting-edge GenAI & AI/ML challenges at scale
• Direct impact on enterprise AI solutioning & technical strategy
• Competitive salary, leadership growth opportunities and ESOPs down the line