Job Summary
Synechron is seeking a forward-thinking AI Solutions Lead to drive the development, deployment, and strategic planning of AI-based solutions across enterprise platforms. You will oversee cross-functional teams, evaluate emerging AI technologies, and ensure alignment with organizational goals. Your role is pivotal in fostering innovation, advancing AI capabilities, and delivering scalable, high-impact AI solutions that contribute to our business growth and digital transformation objectives.
Software Requirements
Required Skills:
Solid understanding of AI concepts, including machine learning, deep learning, NLP, and data science fundamentals
Experience in designing and implementing AI models or solutions using frameworks such as TensorFlow, PyTorch, or scikit-learn
Awareness of cloud platforms offering AI services (AWS SageMaker, Azure Machine Learning, Google AI/Vertex AI)
Knowledge of software architecture and design patterns relevant to scalable AI applications
Familiarity with project management tools and Agile development methodologies
Preferred Skills:
Support certifications in AI, Data Science, or Cloud (e.g., AWS Certified Machine Learning, Microsoft AI Engineer, GCP Professional AI Engineer)
Experience with big data processing and data management tools (Spark, Hadoop, Kafka)
Knowledge of deployment pipelines for AI models including MLOps tools such as Kubeflow, MLflow, or TFX
Skills in data visualization tools (Tableau, Power BI) linked to AI data insights
Overall Responsibilities
Lead and manage AI projects from concept to deployment, ensuring solutions meet business needs and technical standards
Design scalable AI architectures, including data pipelines, model deployment, and inference systems
Collaborate with product managers, data scientists, and engineering teams to identify opportunities for AI integration
Evaluate emerging AI technologies and industry trends; recommend adoption strategies
Mentor and guide teams in best practices for AI model development, deployment, and monitoring
Establish and maintain AI governance practices, including model validation, fairness, and ethical standards
Develop and maintain technology roadmaps aligned with organizational growth and innovation strategies
Oversee AI solution performance, operationalization, and continuous improvement efforts
Communicate complex AI concepts clearly to stakeholders, including non-technical leadership
Technical Skills (By Category)
AI & Data Science Frameworks:
Required: Experience with TensorFlow, PyTorch, or scikit-learn for model development and training
Preferred: Experience with ML Ops tools such as Kubeflow, MLflow, TFX, or Seldon
Cloud & Data Platforms:
Required: Hands-on experience deploying AI models on AWS, Azure, or GCP platforms
Preferred: Use of respective cloud AI services like SageMaker, AzureML, or Vertex AI, and data lakes
Data Management & Processing:
Required: Knowledge of data processing tools like Spark, Hadoop, Kafka, or comparable systems
Preferred: Data pipeline design, ETL processes, and feature engineering techniques
Architecture & Design:
Required: Familiarity with scalable microservices architectures, REST APIs, and containerization (Docker)
Preferred: Advanced knowledge of MLOps pipelines, model versioning, and automated deployment workflows
Tools & Development Practices:
Required: Agile project management (Jira, Confluence), version control (Git), and CI/CD pipelines for model deployment
Preferred: Automation of model training, validation, and deployment with DevOps practices
Experience Requirements
2+ years of experience leading or designing AI solutions in enterprise or large-scale environments
Proven success in delivering scalable AI models or applications from prototype to production
Experience with cloud deployment, MLOps, and model monitoring
Knowledge of data science tools, data management, and AI software lifecycle management
Industry experience in financial services, retail, healthcare, or other data-intensive sectors is an advantage but not mandatory
Day-to-Day Activities
Lead the end-to-end development, deployment, and operationalization of AI models and solutions
Collaborate with cross-functional teams to define project scope, requirements, and KPIs
Evaluate new AI frameworks, tools, and platforms, making strategic recommendations
Mentor team members on AI model best practices, ethical considerations, and operational deployment
Oversee data pipeline development, model training, validation, and inference workflows
Monitor deployed models, troubleshoot issues, and implement enhancements for performance and accuracy
Develop technical documentation, governance policies, and operational guidelines
Keep abreast of industry trends, research breakthroughs, and emerging best practices
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields
Certifications in AI/ML (such as AWS Certified ML, Microsoft AI Engineer, or Google Cloud AI) are desirable
Demonstrated experience leading AI projects across all stages — from data collection and model training to deployment and monitoring
Professional Competencies
Strong analytical and problem-solving mindset, with a focus on innovative solutions
Effective communication skills to articulate complex AI concepts to diverse audiences
Leadership and mentorship capabilities to foster team growth and knowledge sharing
Strategic thinking aligned with organizational goals and industry standards
Adaptability to rapidly evolving AI landscapes and emerging technologies
Strong time and project management skills in a fast-paced, collaborative environment
SYNECHRON’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.