Solutions Architect

GoML; India; Remote; INR 2,400,000 - 4,800,000; Full time

Benefits offered by this job

Remote-first work environment

Coimbatore office access

Job summary

goML, a remote-first AI solutions company with offices in Coimbatore, seeks a Solutions Architect to design GenAI, AI/ML, and data-driven architectures on AWS. You will scope customer needs, craft scalable, cost-effective AI solutions, and guide clients from concept to deployment.

Responsibilities include leading architectural decisions, developing reference architectures, optimizing GPU usage and costs, and mentoring teams on cloud AI deployments.

Qualifications

• 5-8 years of experience designing AI/ML and data-driven architectures on AWS
• At least 2 years of hands-on GenAI/LLMOps or advanced AI 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 and proposal-writing skills

Responsibilities

• Own the architecture and solutioning of AI/ML and GenAI applications
• Work with sales & engineering leaders to scope customer needs and build proposals
• Design scalable architectures using AWS services like SageMaker, Bedrock, Lambda and Redshift
• Lead client discussions and influence high-impact AI/ML decisions
• Own customer AI/ML solutioning, including LLMOps, inference optimization, and MLOps pipelines
• Collaborate with engineering to develop reference architectures and POCs for AI workloads
• Optimize multi-cloud and hybrid AI/ML deployments across AWS/Azure/GCP
• Mentor team members on GenAI and cloud AI deployments
• Represent goML at technical conferences and meetups

Skills

AI/ML architecture design on AWS

GenAI / LLMOps experience

Cloud cost optimization

Client-facing communication

Proposal writing

Tools

SageMaker

Bedrock

Lambda

Inferentia

Trainium

S3

Redshift

Glue

Lake Formation

DynamoDB

Job description

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

• 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