ASAI job platform logo
  1. Home
  2. /Jobs
  3. /Machine Learning Engineer Jobs in Coimbatore
  4. /Associate AI Architect
NE
neuralgo

Associate AI Architect

Coimbatore · Senior

Older listing - lower visibility likelyVerified listingPosted 197d ago

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

What we know about this role

Hiring pulse

LOW

Our tracked job listings for neuralgo show limited recent activity.

Apply window

First 72 hours

Window passed - posted 197d ago

Early applicants get seen before the pile builds.

Not a repost

The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

36 listed
Cloud-Native ArchitectureCI/CDSolution ArchitectureRequirements AnalysisVector DatabaseEnterprise IntegrationHugging FacePrompt Engineering+28 more
Cloud-Native ArchitectureCI/CDSolution ArchitectureRequirements AnalysisVector Database

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

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 highly skilled Technical Architect with deep expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. In this role, you’ll lead end-to-end AI solution architecture—from PoC to enterprise-scale production, drive cloud security and scalability best practices, and work closely with multiple clients and internal delivery teams. If you love architecting robust systems, mentoring engineering teams, and building GenAI solutions that actually ship—we’d love to hear from you.

Why You? Why Now?

Enterprises are moving beyond experimentation and pushing GenAI into real production systems. That requires architects who can think beyond models and prototypes—someone who can design secure, scalable, multi-tenant AI solutions with clear MLOps foundations and cloud-native best practices.
This role is ideal for a leader who:
  • owns architectures end-to-end (not just diagrams)
  • can manage multiple clients / multiple programs
  • drives best practices in MLOps, DevOps, and cloud security
  • brings strong technical leadership and mentoring capabilities

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Architecture Alignment

  • Deep dive into goML’s GenAI/AI/ML delivery framework, reference architectures, and deployment standards
  • Understand ongoing customer engagements, solution maturity, and production constraints
  • Review current AWS architecture patterns used across projects
  • Align with stakeholders on delivery expectations, system SLAs, security requirements, and scalability goals
  • Start contributing to solution planning, cloud design decisions, and technical estimation

First 60 Days: Execution & Impact

  • Own the architecture of AI/ML and GenAI solutions end-to-end:
    • requirement analysis
    • cloud architecture design
    • implementation guidance
    • deployment readiness
  • Design multi-tenant, enterprise-grade AI systems using AWS services such as:
    • SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS/Fargate, S3, OpenSearch, Step Functions
  • Implement best practices for:
    • MLOps + model lifecycle
    • DataOps
    • DevOps pipelines
  • Drive Conversational AI / RAG implementations:
    • embeddings & retrieval strategies
    • vector search + hybrid retrieval
    • inference optimization and cost tuning
  • Collaborate closely with product, engineering, data science, and client teams through architecture reviews and workshops

First 180 Days: Ownership & Transformation

  • Lead full lifecycle AI architecture—from PoC to production—with reliability and performance focus
  • Design and guide implementation of:
    • event-driven architectures
    • serverless & microservices systems for AI workloads
    • scalable API layers and orchestration flows
  • Ensure security, compliance, and governance:
    • IAM + VPC best practices
    • auditability
    • security guardrails and monitoring
  • Own cost and performance optimization across AI workloads:
    • inference compute optimization
    • vector database tuning
    • autoscaling strategies
  • Mentor and build strong technical teams:
    • ML engineers
    • Python developers
    • cloud engineers
  • Drive client strategy:
    • roadmaps
    • go-to-market AI offerings
    • solution proposals and long-term innovation

What You Bring (Qualifications & Skills)

✅ Must-Have

  • 6+ years of overall experience, with strong background in technical architecture and cloud solutions
  • Proven experience designing and delivering production-grade AI/ML and GenAI applications
  • Strong hands-on expertise across AWS services, especially:
    • Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS/Fargate, OpenSearch, RDS
  • Deep knowledge of cloud-native architecture patterns:
    • microservices
    • event-driven systems
    • serverless architecture
  • Proven ability to lead technical teams and mentor engineers
  • Strong client-facing skills:
    • requirement gathering
    • architecture walkthroughs
    • solution presentations
    • stakeholder alignment
  • Experience managing multiple client engagements or parallel deliveries

⭐ Nice-to-Have

  • Experience with GraphQL API design and advanced enterprise integration patterns
  • Exposure to multi-cloud environments (AWS + Azure/GCP)
  • Strong background in building reusable frameworks/platform accelerators for GenAI delivery

Core Technology Stack

Cloud, DevOps & Security

  • AWS: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
  • MLOps/DevOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions), Terraform, AWS CDK
  • Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito

AI/ML & Generative AI

  • LLMs: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
  • Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
  • Vector DBs: OpenSearch, Pinecone, FAISS
  • Concepts: RAG pipelines, prompt engineering, fine-tuning, embeddings, inference optimization

Architecture & Scalability

  • Serverless + microservices architectures
  • Performance optimization & autoscaling
  • Event-driven systems:
    • SNS, SQS, EventBridge, Step Functions
  • API design, scalability and resilience engineering

Why Work With Us?

  • Build cutting-edge GenAI architectures that go beyond demos—into real production
  • Work with multiple enterprise clients across industries and use cases
  • High ownership + high impact environment with strong engineering culture
  • Remote-first, with offices in Coimbatore for in-person collaboration
  • Competitive compensation, career growth, and ESOP opportunities


Tools to land this role

Premium

Your match score, skill map and tracker stay free.

Ground Reality

Premium
Spot the dealbreakers in this 714-word post before you apply

Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.

Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.

Insider Path

Premium
Find someone who can refer you here

We help you find people there who worked or studied where you did, and draft your first message and follow-up.

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

More Machine Learning Engineer roles in Coimbatore

See all

Applied AI Engineer — Memory & Context Systems (Aiva)

AIaivarinnovations · Coimbatore

Senior MLOps / AI Platform Engineer

AIaivarinnovations · Coimbatore

AI Engineer

NEneuralgo · Coimbatore

Senior AI Engineer

NEneuralgo · Coimbatore

Keep browsing

All Machine Learning Engineer jobs in Coimbatore

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

ASAI job platform logo

A job platform finally, balanced in your favour.

Jobs by CityJobs by CompanyGuidesPricingHow We VerifyAboutPrivacy PolicyTerms of Service

Built in India 🇮🇳

© 2026 ASAI. All rights reserved.