Job Summary
Synechron is seeking a highly skilled
AI and Cloud Solutions Architect specializing in
Generative AI, cloud platforms, and enterprise architecture. This leadership role involves guiding cross-functional teams to develop innovative AI-driven solutions, designing scalable cloud infrastructure, and aligning technology strategies with overall business objectives. The ideal candidate will bring strong technical expertise, strategic vision, and stakeholder management skills to drive enterprise AI adoption and ensure system reliability, security, and compliance, supporting Synechron's growth and digital transformation initiatives.
Software Requirements
- Required:
- Deep understanding of Generative AI models (e.g., GPT, BERT, diffusion models) and ML frameworks like TensorFlow, PyTorch, OpenAI API
- Cloud management platforms: AWS, Azure, or GCP, with experience deploying and managing AI solutions at scale
- Project management tools: Jira, Confluence, MS Project or similar
- Architectural modeling and design tools (e.g., ArchiMate, UML)
- Preferred:
- Data management platforms (Snowflake, Databricks)
- Container orchestration: Kubernetes, Docker Swarm
- CI/CD tools: Jenkins, GitLab CI/CD pipelines
- Data Science tools: Jupyter, MLFlow, Hugging Face Hub
Overall Responsibilities
- Lead and coordinate cross-functional teams to plan, develop, and deploy AI solutions aligned with enterprise strategy.
- Define and maintain a comprehensive AI and cloud technology roadmap, ensuring strategic alignment and stakeholder buy-in.
- Provide technical leadership, mentoring, and guidance on AI model development, deployment, and governance.
- Collaborate with business units to identify AI opportunities, formulate project scope, and translate business requirements into scalable technical solutions.
- Evaluate emerging AI and cloud technologies, making informed recommendations for adoption.
- Architect and oversee deployment of AI models and cloud infrastructure, ensuring security, scalability, and compliance.
- Manage vendor relationships, negotiate contracts, and oversee technology procurement.
- Track project milestones, evaluate outcomes, and drive continuous improvement initiatives.
Technical Skills (By Category)
- Programming Languages:
- Required: Python (TensorFlow, PyTorch, OpenAI API), Java (preferred for enterprise integration)
- Preferred: Scala, R, Julia for specialized data science and ML tasks
- Databases/Data Management:
- Required: Cloud data lakes, Snowflake, Databricks, or other scalable data platforms
- Preferred: NoSQL databases, data warehouses, big data processing systems
- Cloud Technologies:
- Required: Cloud deployment, management, and scaling (AWS, Azure, GCP) for AI workloads
- Frameworks and Libraries:
- Required: TensorFlow, PyTorch, MLFlow, OpenAI APIs, Hugging Face
- Preferred: Kubeflow, XAI frameworks (e.g., LIME, SHAP)
- Development Tools and Methodologies:
- Required: DevOps pipelines (Jenkins, GitLab), containerization (Docker, Kubernetes), agile practices
- Experience with MLOps for model deployment, monitoring, and lifecycle management
- Security & Compliance:
- Implement best practices in data privacy (GDPR, CCPA) and cybersecurity for AI systems.
Experience Requirements
- 8+ years in AI, cloud solutions, and enterprise architecture.
- Proven experience leading enterprise-wide AI projects from conception through deployment.
- Strong background in designing scalable, secure cloud infrastructure for AI solutions.
- Demonstrated leadership in managing cross-functional teams of data scientists, ML engineers, and cloud engineers.
- Industry experience in finance, banking, or regulated sectors preferred.
- Alternative: Extensive experience in AI/ML architecture and leadership in complex, large-scale environments.
Day-to-Day Activities
- Lead the design, development, and deployment of scalable AI models and cloud infrastructure.
- Guide teams through model training, evaluation, deployment, and monitoring.
- Collaborate with stakeholders to identify AI opportunities and develop technical roadmaps.
- Oversee AI system performance and security, implementing improvements and updates.
- Evaluate new AI technologies, tools, and frameworks, recommending adoption paths.
- Manage vendor relationships and oversee procurement aligned with project needs.
- Mentor teams, promote best practices, and foster a culture of innovation and continuous learning.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
- Certifications in cloud computing (AWS Certified Solutions Architect, Azure Solutions Architect) and AI (TensorFlow, Azure AI Engineer) are advantageous.
- Proven success in deploying enterprise AI solutions at scale.
- Strong analytical, strategic thinking, and leadership skills.
- Demonstrated ability to communicate complex technical concepts to diverse stakeholders.
Professional Competencies
- Critical thinking and innovative mindset to evaluate new AI advancements.
- Leadership qualities required for mentoring teams and steering large projects.
- Excellent stakeholder management and communication abilities.
- Adaptability to rapid technological changes and regulatory requirements.
- Organizational skills for managing multiple initiatives effectively.
S YNECHRON'S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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