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

S YNECHRONS 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 .

Candidate Application Notice

Key Skills

Organizational Management,Presentation Skills,Agile,SAFe,AWS,Solution Architecture,Conflict Management,Data Management,Scrum,Team Management,Pre-sales,Management Consulting

Employment Type : Full-Time

Experience : years

Vacancy : 1