AI Solutions

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 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.