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Architect / Principal, AI ML Engineer
3Pillar GlobalAI/ML Architect at 3Pillar setting the technical direction for scalable AI solutions across multiple domains. Evaluating technologies and aligning AI initiatives with business goals and standards.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI architecture patternsPythonML librariesGenerative AI APIsMLOpsData GovernanceModel Risk Managementmachine learning theoryalgorithmsmethodologies
Soft Skills
leadershipcommunicationstrategic thinkinginnovationmentoringcollaboration
Tools & Technologies
cloud-native AI toolsAPIsmicroservicescontainerization
Certifications & Qualifications
Master’s degree in Computer ScienceMaster’s degree in EngineeringMaster’s degree in Mathematics
Industry Keywords
AI/ML solutionsenterprise applicationsretrieval-augmented generation (RAG)build-vs-buy decisionsemerging technologiescross-functional collaboration
Tech Stack
Tools & technologiesCloudMicroservicesPython
About the role
Key responsibilities & impact- Define end-to-end architecture for AI/ML solutions
- Serve as a strategic advisor to clients
- Architect scalable solutions using cloud-native AI tools
- Lead integration of Generative AI into enterprise applications
- Design retrieval-augmented generation (RAG) systems
- Guide teams on MLOps frameworks
- Evaluate build-vs-buy decisions for AI tools
- Evaluate emerging technologies in AI space
- Mentor technical teams and strengthen organizational expertise
- Collaborate with leadership to align strategies with business objectives
- Represent the organization at industry events
- Drive cross-functional collaboration to identify opportunities
Requirements
What you’ll need- Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience
- Strong grasp of AI architecture patterns
- Deep experience with Python, ML libraries
- Hands-on with Gen AI APIs
- Experience designing enterprise AI systems with MLOps
- Familiarity with APIs, microservices, and containerization
- Experience in Data Governance, Model Risk Management, and compliance
- Extensive knowledge of machine learning theory, algorithms, and methodologies
- Strong leadership and communication skills
- Demonstrated ability to think strategically and drive innovation
Benefits
Comp & perks- flexible work environment
- global team
- well-being programs
- career growth opportunities
- equal opportunity employer