AI Architect

Job Title: AI Systems Architect

We are seeking a visionary leader to design and integrate cutting-edge artificial intelligence systems, including generative AI, large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation frameworks.

This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud.

• Languages: Python, SQL, Bash
• ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
• GenAI & LLM Tooling: OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI
• Agentic & Multi-Agent Frameworks: LangGraph, CrewAI, Agno, AutoGen
• Search & Retrieval: FAISS, Pinecone, Weaviate, Elasticsearch
• Cloud Platforms: AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock)
• MLOps & DevOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API
• Data Tools: Snowflake, BigQuery, Spark, Airflow

1. Design and implement scalable and secure AI systems leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases.
2. Oversee the implementation of retrieval-augmented generation pipelines integrating vector databases, LLMs, and proprietary knowledge bases.
3. Build robust agentic workflows using tools like LangGraph, CrewAI, or Agno, enabling autonomous task execution, planning, memory, and tool use.
4. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps.
5. Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance.
6. Manage technical roadmap, sprint cadence, and 3–5 AI engineers, coach on best practices.
7. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards.

• 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design.
• Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems.
• Strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs.
• Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure.
• Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming).
• Familiarity with data governance, AI ethics, and security considerations in production-grade systems.
• Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

• Strong analytical and problem-solving skills, with the ability to evaluate complex technical trade-offs.
• Excellent collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Strong attention to detail and organizational skills, with the ability to manage multiple priorities and deadlines.

• To create innovative AI solutions that drive business outcomes and customer satisfaction.
• To foster a culture of innovation, experimentation, and learning within the team.

We seek an exceptional AI systems architect who will help shape our vision for AI-driven innovation and lead the development of cutting-edge AI systems. If you have a passion for AI, a strong track record of success, and excellent leadership skills, we encourage you to apply.