GenAILakes.AI
We're Hiring: GenAI Architect
Location:
Remote / Hybrid (IST Timings)
Work Timings:
Standard IST Business Hours
Experience:
8+ Years
Are you passionate about designing AI systems that leverage Large Language Models (LLMs) and cutting‑edge GenAI frameworks? We're looking for an experienced
GenAI Architect
to lead the design, development, and deployment of next‑gen AI solutions at scale.
Key Responsibilities:
Architect and design scalable, efficient GenAI systems using LLMs and modern ML frameworks.
Lead development using
Python ,
TensorFlow ,
PyTorch , and
FastAPI
for high‑performance APIs.
Optimize models for training and inference with a focus on speed, performance, and reliability.
Build and integrate
MLOps pipelines
for automated deployment, monitoring, and versioning of AI models.
Collaborate with cross‑functional teams including Data Science, DevOps, Product, and Engineering.
Drive
CI/CD
practices for AI solutions and manage infrastructure using
Docker ,
Kubernetes ,
Jenkins , and
Terraform .
Ensure AI systems follow best practices in security, compliance, and data governance.
Provide leadership and mentorship to development and engineering teams.
✅
Requirements:
8+ years of hands‑on experience in
AI/ML architecture
and
software engineering .
Strong expertise with
Azure OpenAI
(mandatory) and LLM‑based solution design.
Proficient in Python and data manipulation libraries like Pandas, NumPy.
Experience in building APIs using
FastAPI ,
Flask , or similar frameworks.
Solid understanding of
MLOps , AI lifecycle management, and model versioning.
Proven ability to lead technical teams and deliver large‑scale AI systems.
Hands‑on with
DevOps tools
(Docker, Kubernetes, Jenkins, Terraform).
Nice to Have:
Exposure to
LangChain ,
RAG architectures , or GenAI agents.
Experience with AI deployments across
multi‑cloud environments
(Azure/GCP/AWS).
Familiarity with real‑time AI monitoring and LLM optimization techniques.
Why Join Us?
Be at the forefront of
Generative AI innovation
Work on
enterprise‑scale AI deployments
Collaborate with top‑tier engineering, product, and data teams
Drive real‑world impact with bleeding‑edge AI
Interested? Apply now and lead the GenAI revolution!
#GenAI #AIJobs #LLM #OpenAI #AzureOpenAI #FastAPI #MLOps #Hiring #AIArchitect #PythonDeveloper #TechCareers #LangChain #RAG #ArtificialIntelligence #MachineLearning #SeniorRoles
#J-18808-Ljbffr
Remote / Hybrid (IST Timings)
Work Timings:
Standard IST Business Hours
Experience:
8+ Years
Are you passionate about designing AI systems that leverage Large Language Models (LLMs) and cutting‑edge GenAI frameworks? We're looking for an experienced
GenAI Architect
to lead the design, development, and deployment of next‑gen AI solutions at scale.
Key Responsibilities:
Architect and design scalable, efficient GenAI systems using LLMs and modern ML frameworks.
Lead development using
Python ,
TensorFlow ,
PyTorch , and
FastAPI
for high‑performance APIs.
Optimize models for training and inference with a focus on speed, performance, and reliability.
Build and integrate
MLOps pipelines
for automated deployment, monitoring, and versioning of AI models.
Collaborate with cross‑functional teams including Data Science, DevOps, Product, and Engineering.
Drive
CI/CD
practices for AI solutions and manage infrastructure using
Docker ,
Kubernetes ,
Jenkins , and
Terraform .
Ensure AI systems follow best practices in security, compliance, and data governance.
Provide leadership and mentorship to development and engineering teams.
✅
Requirements:
8+ years of hands‑on experience in
AI/ML architecture
and
software engineering .
Strong expertise with
Azure OpenAI
(mandatory) and LLM‑based solution design.
Proficient in Python and data manipulation libraries like Pandas, NumPy.
Experience in building APIs using
FastAPI ,
Flask , or similar frameworks.
Solid understanding of
MLOps , AI lifecycle management, and model versioning.
Proven ability to lead technical teams and deliver large‑scale AI systems.
Hands‑on with
DevOps tools
(Docker, Kubernetes, Jenkins, Terraform).
Nice to Have:
Exposure to
LangChain ,
RAG architectures , or GenAI agents.
Experience with AI deployments across
multi‑cloud environments
(Azure/GCP/AWS).
Familiarity with real‑time AI monitoring and LLM optimization techniques.
Why Join Us?
Be at the forefront of
Generative AI innovation
Work on
enterprise‑scale AI deployments
Collaborate with top‑tier engineering, product, and data teams
Drive real‑world impact with bleeding‑edge AI
Interested? Apply now and lead the GenAI revolution!
#GenAI #AIJobs #LLM #OpenAI #AzureOpenAI #FastAPI #MLOps #Hiring #AIArchitect #PythonDeveloper #TechCareers #LangChain #RAG #ArtificialIntelligence #MachineLearning #SeniorRoles
#J-18808-Ljbffr