Architect

Neurealm

8 years

0 Lacs

pune maharashtra india

Posted:2 weeks ago| Platform:

Apply

Skills Required

ai design development deployment aws azure strategy sagemaker openai retrieval strategies indexing data support governance security pipeline integration model software dynamodb ml database orchestration iam compliance monitoring logging risk

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role – AI Architect (Generative AI)

AI Architect

🔧 Key Responsibilities:

Architect and implement GenAI solutions on
AWS
(Bedrock, SageMaker) and
Azure
(Azure OpenAI, Azure ML).
Design both agentic and non-agentic workflows using tools like
LangChain
,
Semantic Kernel
, or
AWS Agent Framework
.
Develop RAG (Retrieval-Augmented Generation) pipelines using
vector databases
(e.g., Amazon OpenSearch, Azure Cognitive Search).
Build and manage
prompt engineering
strategies and prompt lifecycle.
Evaluate and integrate leading foundation models (e.g.,
GPT
,
Claude
,
Titan
,
Phi-2
,
Falcon
,
Mistral
).
Implement
chunking/indexing strategies
for unstructured data to support RAG and vector-based retrieval.
Ensure responsible AI practices, including governance, security, explainability, and compliance.
Collaborate with
data engineering
and
DevOps
teams for pipeline integration, model lifecycle, and CI/CD automation.
Develop
reference architectures
and best practices for reusable GenAI components.
Stay up to date with AWS/Azure GenAI innovations and provide strategic guidance.

Required Qualifications

8+ years of experience in
software/data architecture
, including 3+ years in
AI/ML
with hands-on
Generative AI
experience.
Proven ability to design and deploy AI workflows on:
AWS
: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch
Azure
: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search
Strong experience in
RAG
,
prompt engineering
, and
vector database design
.
Familiar with AI agent orchestration frameworks (LangChain, Semantic Kernel, AWS Agent Framework).
Solid understanding of
cloud security
,
IAM/RBAC
, and compliance in enterprise settings.
Proficiency in
Python
and modern ML libraries/APIs across AWS and Azure ecosystems.

Preferred Qualifications

Experience with
LLMOps
tools: model monitoring, logging, performance tracking.
Understanding of
fine-tuning
,
evaluation
, and
GenAI safety/risk management
.
Familiarity with
serverless architecture
,
containerization
(ECS, AKS), and
CI/CD pipelines
in AWS/Azure.
Ability to convert business needs into
scalable, measurable AI solutions
.

More Jobs at Neurealm

Product Manager

Chennai, Tamil Nadu, India

10.0 - 10.0 yrs

Salary: Not disclosed

Network Implementation Engineer

India

10.0 - 10.0 yrs

Salary: Not disclosed

Senior Business Analyst

Chennai, Tamil Nadu, India

8.0 - 8.0 yrs

Salary: Not disclosed

Senior Account Manager

Bengaluru, Karnataka, India

10.0 - 10.0 yrs

Salary: Not disclosed

Cloud Engineer

Pune, Maharashtra, India

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.