3Pillar
Product Development
Architect/Principal,AIMLEngineer
Neural analysis suggests this role is
optimal for Principal candidates.
“Architect / Principal, AI ML Engineer at 3Pillar. Skills: AI/ML Architecture, Generative AI, MLOps, Cloud-native AI. Define end-to-end architecture for AI/ML and Gen AI. Serve as a strategic advisor / consultant to clients”
What You'll Achieve.
Deliver impactful AI/ML solutions; Drive innovation and business value; Strengthen expertise in the organization
Industry & Context.
What They're Looking For.
Must Have
Master’s degree in Computer Science, Engineering, Mathematics, or a related field, 15+ years of industry experience with IT services background in machine learning, data science, AI, 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, 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, leadership and communication skills, with the ability to influence stakeholders at all levels of the organization, Demonstrated ability to think strategically and drive innovation
Nice to Have
Ph. D. is highly desirable, 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 You'll Do.
Define end-to-end architecture for AI/ML and Gen AI
Serve as a strategic advisor / consultant to clients
Architect scalable solutions using cloud-native AI tools
Lead the integration of Generative AI into components / features
Design retrieval-augmented generation (RAG) systems
Guide teams on MLOps frameworks
Evaluate build-vs-buy decisions
Evaluate emerging technologies and trends in AI
Mentor technical teams
Ensure ethical and responsible AI practices
Act as a subject matter expert
Collaborate with leadership
Represent the organization at industry conferences
Drive cross-functional collaboration
How You'll Work.
Team & Collaboration
Collaborate with leadership to align machine learning strategies; Drive cross-functional collaboration to identify opportunities; Work with product team
Communication Scope
leadership and communication skills; ability to influence stakeholders
Full Job Description
## Description Architect / Principal, AI ML Accomplished Tech Visionary: 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. ## 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 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 organi
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