AI Lead / Architect REQ_144

Embark on an exciting journey into the realm of software development with 3Pillar! 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 3Pillar in client-facing interactions to drive innovation and business value.
• Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI).
• Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, 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, PyTorch, TensorFlow).
• Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning.
• Hands-on experience integrating AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) into SDLC workflows.
• Platform engineering experience with GitHub 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, OpenTelemetry, Langfuse).
• Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker 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 OpenAI) 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 3Pillar Global?

At 3Pillar, we offer a world of opportunity:

• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.
• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
• We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.

Join us and be a part of a global tech community! Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!

• Medical Insurance benefits as per company policy.
• Life Insurance as per company policy
• 15 days of paid vacation plus additional days based on tenure
• Vacation bonus as per local law
• Sick leave and paid holidays as per local law
• Profit sharing as per local law
• Paternity and maternity leave as per as per local law
• Marriage, bereavement and graduation leaves as per company policy
• Christmas bonuses as per local law
• Work from home allowance as per company policy
• Punctuality and attendance bonuses as per company policy
• Food tickets as per company policy
• Direct deposit of payroll.
• Paid professional certifications

Job Snapshot

Updated Date

10/15/2026

Job ID

Job_276

Department

Data & AI

Location