GCP AI/ML Solution Architect
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 21, 2026. Persistent Systems scores A on the Alion truth index.
About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 18 of the Fortune 50 companies, 7 of the 10 top US banks, 9 of the 10 technology companies, and numerous innovators across the healthcare ecosystem.
Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487.6M in Q4 FY26 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29,500+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens™ Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.
About Position:
We are seeking an experienced GCP AI/ML Solution Architect to lead the design and implementation of cloud-native AI and Machine Learning solutions on Google Cloud Platform (GCP). This role requires a strong blend of cloud architecture, data engineering, and AI/ML expertise to develop scalable, secure, and business-driven solutions. The ideal candidate will work closely with business stakeholders, engineering teams, data scientists, and cloud specialists to define target architectures, drive modernization initiatives, and accelerate AI adoption across the enterprise.
- Role: GCP AI/ML Solution Architect
- Location: Pune
- Experience: Between 8 to 12 Years
- Job Type: Full Time Employment
What You'll Do:
- Define enterprise-scale solution architectures and implementation roadmaps for AI/ML platforms on Google Cloud Platform.
- Design scalable, secure, highly available, and cost-optimized cloud solutions leveraging native GCP services.
- Translate business, functional, data, security, and integration requirements into practical architecture blueprints and technical designs.
- Architect end-to-end AI/ML solutions including data ingestion, feature engineering, model development, deployment, monitoring, and governance.
- Lead cloud modernization and migration initiatives from on-premises or multi-cloud environments to GCP.
- Evaluate emerging AI, ML, GenAI, data engineering, and cloud technologies through proof-of-concepts and technical assessments.
- Establish architecture standards, reusable frameworks, reference architectures, and governance controls.
- Collaborate with data scientists, ML engineers, data engineers, security teams, and business stakeholders to deliver enterprise-grade solutions.
- Design and review data platforms leveraging BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and related GCP services.
- Implement security, compliance, identity management, monitoring, and observability best practices across cloud environments.
- Lead architecture reviews, risk assessments, design governance sessions, and technical decision-making forums.
- Optimize cloud performance, reliability, scalability, and operational efficiency while managing infrastructure costs.
- Mentor engineering teams and provide architectural guidance throughout the project lifecycle.
- Drive production readiness, disaster recovery planning, and operational excellence initiatives.
Expertise You'll Bring:
- 8-12 years of experience in Cloud Architecture, Data Engineering, AI/ML Engineering, or Enterprise Solution Architecture.
- Strong hands-on expertise with Google Cloud Platform (GCP) services including BigQuery, Vertex AI, Dataflow, Dataproc, GKE, Cloud Run, Pub/Sub, Cloud Functions, Cloud Storage, and IAM.
- Proven experience designing and implementing enterprise-scale AI, Machine Learning, and Data Analytics solutions.
- Strong knowledge of machine learning model lifecycle management, MLOps, model deployment, monitoring, and governance frameworks.
- Experience working with Vertex AI, TensorFlow, PyTorch, Scikit-learn, and modern AI/ML ecosystems.
- Expertise in designing cloud-native architectures with a focus on scalability, resilience, security, and cost optimization.
- Strong understanding of Data Engineering concepts including ETL/ELT pipelines, data lakes, streaming architectures, and data warehousing.
- Experience implementing Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, or advanced analytics solutions is highly desirable.
- Knowledge of DevOps, CI/CD, Infrastructure as Code, containerization, and Kubernetes-based deployments.
- Familiarity with cloud security frameworks, governance models, compliance requirements, and enterprise architecture best practices.
- Strong stakeholder management skills with the ability to align business objectives with technology roadmaps.
- Experience leading architecture review boards, technical governance forums, and cross-functional engineering initiatives.
- Excellent communication, documentation, leadership, and mentoring capabilities.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
- Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer, or related cloud certifications are highly preferred.
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."