LocationSan Francisco, New York, London, Tokyo, Paris, Mumbai, Sydney, Toronto, Berlin, DubaiSan Francisco, New York, London, Tokyo, Paris, Mumbai, Sydney, Toronto, Berlin, DubaiSan Francisco, New York, London, Tokyo, Paris, Mumbai, Sydney, Toronto, Berlin, DubaiSan Francisco, New York, London, Tokyo, Paris, Mumbai, Sydney, Toronto, Berlin, Dubai. San Francisco, New York, London, Tokyo, Paris, Mumbai, Sydney, Toronto, Berlin, Dubais
Work Modelon-site
Type
full time
Pay RangeNot specified
TalentProof Demo is seeking an exceptional Senior Principal Lead Solutions Architect and Technical Program Manager to drive the design, development, and delivery of advanced AI/ML solutions across multiple business units. This pivotal role requires a deep technical background in AI/ML, strong architectural design skills, and proven experience in managing complex technical programs from inception to deployment. You will be responsible for bridging the gap between cutting-edge research, scalable engineering, and strategic business objectives.
Responsibilities
Lead the architectural definition, design, and implementation strategies for enterprise-level AI/ML platforms and applications.
Drive cross-functional technical programs, managing timelines, resources, and deliverables for AI/ML projects.
Collaborate with data scientists, machine learning engineers, and product teams to translate business requirements into robust, scalable, and secure technical solutions.
Provide technical leadership and mentorship to engineering teams, ensuring best practices in software development, MLOps, and system reliability.
Evaluate and recommend new technologies, tools, and methodologies to enhance our AI/ML capabilities and infrastructure.
Identify and mitigate technical risks and challenges throughout the project lifecycle.
Communicate complex technical concepts and project statuses effectively to both technical and non-technical stakeholders.
Qualifications
Required Skills & Experience:
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
8+ years of experience in software engineering, with at least 5 years focused on AI/ML solution architecture, design, and development.
Proven experience in a lead architect or technical program manager role for large-scale AI/ML initiatives.
Deep expertise in machine learning principles, algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of cloud platforms (AWS, Azure, GCP) and experience with MLOps tools and practices (e.g., Kubernetes, Docker, MLflow, Kubeflow).
Exceptional problem-solving skills and the ability to design scalable, high-performance systems.
Excellent communication, interpersonal, and leadership skills.
Preferred Qualifications:
Ph.D. in a relevant field.
Experience with distributed computing frameworks (e.g., Spark, Hadoop).
Familiarity with data governance, privacy, and security best practices in AI/ML.
Publications or active contributions to the AI/ML community.
About TalentProof
Proctored skill verification for staffing and recruiting teams—and portable scorecards for candidates who want proof, not just polish.
Benefits & Perks
Our Values
Fairness
We believe everyone deserves a chance to prove their skills, regardless of their background.
Transparency
Our scoring is objective and transparent, giving both candidates and recruiters clear, actionable insights.
Empowerment
We empower candidates to own their career narrative and recruiters to build stronger, more diverse teams.
Ready to apply?
Start your verified application, or preview the assessment format first.
Proctored assessment · shared with the hiring team when you submit
Preview first (optional)
Preview format and timing (sample size varies by assessment type). Same preview each time — not scored and not sent to the employer. Retake anytime.