AI and Cloud Solutions Architect

AI and Cloud Solutions Architect with Generative AI, MLOps, and Enterprise Architecture

Job Summary
Synechron is seeking an experienced AI and Cloud Solutions Architect with expertise in Generative AI, cloud platforms, and enterprise architecture. This strategic role involves leading cross-functional teams to develop innovative AI-driven solutions, designing scalable cloud infrastructure, and ensuring alignment of technology initiatives with business objectives. The ideal candidate will possess strong technical knowledge, project management skills, and leadership qualities to deliver high-impact projects that support Synechron’s growth and digital transformation goals.

Software Requirements

• Required:

  • Deep understanding of Generative AI technologies (e.g., GPT, BERT, diffusion models) and machine learning frameworks (TensorFlow, PyTorch, OpenAI API)

  • Cloud platforms: AWS, Azure, or GCP, with experience deploying and managing AI solutions

  • Project management tools: Jira, Confluence, MS Project or similar

  • Architecture design tools and best practices for scalable, distributed AI systems

• Preferred:

  • Containers and orchestration (Docker, Kubernetes)

  • Data management and data lake solutions (Snowflake, Databricks)

  • CI/CD tools: Jenkins, GitLab CI/CD

  • Data science tools: Jupyter, MLFlow

Overall Responsibilities

• Lead and manage cross-functional teams to plan, develop, and deploy AI-powered solutions that align with enterprise goals.

• Define and maintain a comprehensive AI and cloud technology roadmap in line with strategic business objectives.

• Provide technical guidance and mentorship across teams involved in AI model development, deployment, and governance.

• Collaborate with stakeholders to identify AI opportunities, define project scope, and translate business needs into scalable technical solutions.

• Evaluate emerging AI and cloud technologies for adoption to maintain competitive advantage.

• Oversee architecture design for scalable, secure, and compliant AI systems in cloud environments.

• Manage vendor relationships, negotiate contracts, and ensure effective procurement and integration of tools/services.

• Track project progress, evaluate outcomes, and implement continuous process improvements.

Technical Skills (By Category)

• Programming Languages:

  • Required: Python (TensorFlow, PyTorch, OpenAI API), Java (preferred for enterprise integration)

  • Preferred: Additional languages such as Scala, R, or Julia for data science and ML model development

• Databases/Data Management:

  • Required: Data management in cloud ecosystems, knowledge of data lakes, and big data platforms (e.g., Snowflake, Databricks)

  • Preferred: NoSQL databases, distributed data storage solutions

• Cloud Technologies:

  • Required: Cloud deployment and management (AWS, Azure, GCP) for AI model hosting and scalable infrastructure

• Frameworks and Libraries:

  • Required: TensorFlow, PyTorch, OpenAI APIs, MLFlow for model management

  • Preferred: Kubeflow, xAI (explainable AI frameworks)

• Development Tools and Methodologies:

  • Required: DevOps pipelines (Jenkins, GitLab), Containerization (Docker, Kubernetes), Agile methodologies

  • Experience with MLOps best practices for model deployment and monitoring

• Security & Compliance:

  • Knowledge of data privacy standards (GDPR, CCPA) and security controls affecting AI solutions

Experience Requirements

• Minimum of 8-10 years of experience in AI, cloud solutions, and enterprise architecture.

• Proven track record leading AI projects from conception to deployment in large-scale environments.

• Experience managing cross-functional teams comprising data scientists, engineers, and architects.

• Hands-on experience deploying AI models on cloud platforms at scale.

• Industry experience in finance, banking, or regulated sectors is preferred.

• Alternative: Extensive experience in AI/ML solution architecture with demonstrated leadership in technology-driven projects.

Day-to-Day Activities

• Lead the design, development, and deployment of AI models and cloud infrastructure.

• Guide teams through model training, evaluation, and production rollout.

• Collaborate with stakeholders to define project scope and translate business needs into technical architectures.

• Monitor AI system performance, security, and compliance metrics, making adjustments as needed.

• Develop and maintain a strategic vision for AI and cloud adoption within the organization.

• Conduct research on emerging AI trends, tools, and frameworks, evaluating their applicability.

• Coordinate vendor relationships, manage budgets, and oversee procurement processes.

• Facilitate knowledge sharing, mentorship, and technical training for team members.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Certifications in cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect) and AI/ML (TensorFlow, Azure AI Engineer) are preferred.

• Demonstrable experience in deploying enterprise AI solutions at scale.

• Proven leadership in managing cross-functional teams and complex projects.

• Strong analytical, strategic thinking, and problem-solving skills.

Professional Competencies

• Critical thinking and innovative mindset for assessing new AI technologies and solutions.

• Leadership and mentorship capabilities to develop high-performing teams.

• Excellent stakeholder management and communication skills.

• Strategic planning and execution skills to align technology with business objectives.

• Adaptability to rapidly changing technology landscapes and regulatory environments.

• Results-oriented with strong organizational and time management skills.

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.

Candidate Application Notice

Experience Level

Senior Level