AI Solutions AI Technical Strategist

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

• Bachelors or Masters 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

SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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