Position Overview
We are seeking a highly skilled Technical Architect (AI) to join our this role you will leverage your expertise in Generative AI LLMs NLP and machine learning to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understanding of architectural design RAG pipelines AI agents guardrails and the latest advancements in large language models . You will play a key role in delivering cutting-edge solutions working with large-scale data and building systems that enhance automation intelligence and efficiency for our clients.
Key Responsibilities
AI Solutioning & Architecture
- Lead the design and implementation of end-to-end AI solutions ensuring scalability robustness and efficiency aligned with business needs.
- Architect RAG pipelines using frameworks like LangChain LlamaIndex or custom-built stacks .
- Design Agentic AI architectures including task-based agents stateful memory planning-execution workflows and tool augmentation .
Data Strategy & AI Model Development
Define and execute data strategies for collection cleaning transformation and integration.Fine-tuning & Prompt Engineering : Fine-tuning pre-trained models (e.g. GPT BERT etc.) and optimize prompt engineering techniques to drive high-quality actionable outputs for diverse business use cases.Perform embeddings generation evaluation of outputs and incorporate human / automated feedback loops .Apply advanced NLP techniques such as tokenization prompt engineering and query optimization.Machine Learning & Deep Learning Models : Build train and deploy machine learning models including deep learning models for complex AI applications across various domains.AI Guardrails & Safety
Build and enforce guardrails for model safety and compliance including prompt validation output moderation and access controls .Ensure solutions meet data governance compliance and security standards .Deployment & Cloud-Native Enablement
Collaborate with teams to deploy solutions in AWS cloud-native environments (Bedrock Lambda ECS SageMaker CDK).Oversee CI / CD pipelines API integrations and scalable production deployments .Lead LLM provisioning from AWS balancing performance and cost-effectiveness.Deployment & Evaluation : Oversee the deployment of AI models ensuring smooth integration with production systems and perform rigorous evaluation of LLMs for accuracy efficiency and scalability.Observability & post-deployment
Contribute to system observability.Support post-deployment monitoring optimization and retraining cycles for LLM-driven systems.Technologies & Frameworks
LLM : Expertise in AWS Bedrock
RAG : LangChain LlamaIndex CrewAI VectorDB
Programming : Python
Cloud Platforms : AWS (Bedrock SageMaker Lambda CDK)
Data & Databases : SQL NoSQL Data Lakes Data Warehouses.
Orchestration & Deployment : CI / CD pipelines containerized microservices Kubernetes.
Required Skills & Qualifications
Proven production experience with RAG pipelines (LangChain LlamaIndex or custom stacks).Strong understanding of Agentic AI patterns : task agents memory / state tracking orchestration.Expertise in LLM fine-tuning embeddings evaluation strategies and feedback integration .Hands-on experience with AI guardrails (moderation filtering prompt validation).Proficiency in Python vector DBs and LLM APIs .Familiarity with CI / CD API integration and cloud-native deployments .Strong database management skills (SQL & NoSQL).Excellent communication solutioning and leadership capabilities.Key Skills
APIs,SOAP,Software Architecture,.NET,Design Patterns,Enterprise Software,AWS,Solution Architecture,Cloud Architecture,Java,SSO,Oracle
Employment Type : Full Time
Experience : years
Vacancy : 1