Accomplished Tech Visionary

Embark on an exciting journey into the realm of software development with 3 Pillar We extend an invitation for you to join our team and gear up for a thrilling adventure.

AI Lead / Architect Accomplished Tech Visionary

Embark on an exciting journey into the realm of software development with 3 Pillar We extend an invitation for you to join our team and gear up for a thrilling adventure.

As an AI/ML Architect, you will set the technical direction and blueprint for scalable AI solutions across multiple domains. You will evaluate emerging technologies, define architectural patterns, and align AI initiatives with business goals and ethical standards.

Key Responsibilities
Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps. Serve as a strategic advisor / consultant to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3 Pillar in client-facing interactions to drive innovation and business value. Architect scalable solutions using cloud-native AI tools (Azure ML, AWS Sage Maker, or GCP Vertex AI). Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (Open AI, Gemini, Claude and others) or open source models like LLama. Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar). Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining. Evaluate build-vs-buy decisions and benchmark AI tools/platforms. Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space and recommend adoption strategies. Mentor technical teams and guide solution architects, AI/ML engineers.



Ensure ethical and responsible AI practices including bias detection, interpretability, and governance. Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization. Collaborate with leadership to align machine learning strategies with overall business objectives. Represent the organization at industry conferences, workshops, and events. Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges. Assess clients’ current AI-enabled SDLC (code repositories, ticketing, AI tooling), establish a baseline, and deliver findings with a prioritised improvement backlog. Build and tune MCP servers and connectors, and add guardrails and human approval gates for AI-generated changes. Set up agent observability and evaluation, and report measurable before/after improvements. Minimum Qualifications Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience with strong IT services background in machine learning, data science, AI, with a track record of delivering impactful projects; a Ph. D. is highly desirable. Strong grasp of AI architecture patterns (RAG, Agent AI, MCP based systems, prompt orchestration). Deep experience with Python, ML libraries (scikit-learn, XGBoost, Py Torch, Tensor Flow). Hands-on with Gen AI APIs (Open AI, Claude,



Gemini), prompt engineering, embeddings, and fine-tuning. Hands-on experience integrating AI coding assistants (e.g., Claude Code, Git Hub Copilot, Cursor) into SDLC workflows. Platform engineering experience with Git Hub and Jira (CI/CD pipelines, branch protection, security scanning, workflow APIs). Experience with agent evaluation and observability tools (e.g., LLM-as-judge, Promptfoo, Ragas, Open Telemetry, Langfuse). Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, Sage Maker Pipelines). Familiarity with APIs, microservices, and containerization (Docker, Kubernetes). Experience in Data Governance, Model Risk Management, and compliance. Extensive knowledge of machine learning theory, algorithms, and methodologies. Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization. Demonstrated ability to think strategically and drive innovation. Knowledge of C/C++, Oracle Ability to read and navigate large C/C++ codebases; knowledge of Oracle. Additional Experience Desired: Claude Certified Architect
- Nice to have Managed LLM platforms and gateways (e.g., AWS Bedrock, Azure Open AI) for provider-agnostic model access. Code intelligence for large legacy codebases (e.g., knowledge graphs, AST parsing, C/C++). SDLC productivity metrics (e.g., DORA, defect rates, cycle time). Good undertaking of Software Product Development and how to integrate AI ML components into a software product. Experience in working with huge datasets in a production environment. Published research in top-tier conferences or journals is a plus. What is it like working for 3 Pillar Integral? At 3 Pillar,

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