AI Model DevOps & Architecture Lead | Large Language Models, Cloud Deployment & Enterprise AI Solutions

Job Summary Synechron is seeking a highly experienced AI Technical Specialist to spearhead and coordinate AI projects across development, testing, and deployment phases. This role involves identifying impactful AI use cases, leading hands-on implementation of AI models, and ensuring seamless integration into existing systems and workflows. The ideal candidate will stay abreast of the latest advancements in AI platforms and large language models (LLMs), providing technical mentorship and strategic guidance to foster innovation and operational excellence in enterprise AI initiatives. Software Requirements   Required Software Proficiency: Python (latest stable version, e.g., Python 3.8+) — extensive experience in developing, testing, and refining AI models Frameworks: TensorFlow, PyTorch — proven expertise supporting model training, tuning, and production deployment Cloud platforms supporting AI workloads: AWS, GCP, or Azure — experience deploying AI models in cloud environments (preferably) Data management tools: SQL, NoSQL databases supporting data preparation, storage, and retrieval for AI projects Version control: Git/GitHub — strong collaboration and code management skills Preferred Software Skills: Large Language Models (LLMs) such as GPT, BERT, or similar — hands-on experience in fine-tuning, prompt engineering, and deployment support AI orchestration tools: MLflow, Kubeflow — for model lifecycle management supporting MLOps best practices Automation tools supporting CI/CD pipelines for AI solutions (e.g., Jenkins, Azure DevOps) Overall Responsibilities Lead end-to-end AI initiatives—from use case identification to model deployment and support—aligning solutions with organizational objectives Develop, train, and refine AI models supporting business challenges, focusing on accuracy, scalability, and efficiency Collaborate with cross-functional teams, including product managers, data scientists, and DevOps, to integrate AI capabilities seamlessly Stay current with emerging AI advancements, evaluating new models, tools, and platform capabilities for enterprise applicability Conduct model performance evaluation, tuning, and validation to meet quality standards and operational parameters Mentor team members on AI best practices, code development, and model management strategies Support the implementation of MLOps pipelines supporting model versioning, monitoring, and continuous improvement Document technical requirements, model architecture, deployment procedures, and operational guidelines supporting compliance and audit readiness Technical Skills (By Category) Languages & Frameworks (Essential): Python: core language supporting development, training, and inference of AI models TensorFlow, PyTorch: for training, tuning, and deploying deep learning models Models & Data Management: Experience working with large datasets, data pre-processing, and managing models’ lifecycle (training, validation, deployment) Cloud & Infrastructure: AWS, GCP, or Azure supporting cloud deployment of AI models (preferred) Support for cloud-native AI services and infrastructure automation supporting scalability and reliability Tools & Platforms: Model development and management: MLflow, Kubeflow (preferred) CI/CD automation supporting model deployment, monitoring, and retraining processes Security & Governance: Knowledge of ML model security, data privacy standards, and compliance support (e.g., GDPR, HIPAA) Experience Requirements 7+ years of experience leading AI model development, deployment, and optimization in enterprise environments Proven track record of supporting large-scale AI solutions, including LLM fine-tuning and deep learning models Strong experience supporting AI model lifecycle management and deploying models in cloud environments Demonstrated leadership in coaching teams, fostering innovation, and implementing best practices in AI/ML workflows Experience in regulated industries such as finance, healthcare, or enterprise technology environments is preferred Day-to-Day Activities Lead the development, testing, and deployment of AI models supporting business use cases Collaborate with data scientists, developers, and DevOps teams to support model training, evaluation, and productionization Support the automation of model deployment pipelines, monitoring, and retraining workflows supporting MLOps practices Conduct model performance evaluation, interpretability analysis, and calibration to ensure accuracy Troubleshoot issues related to data, model inference, and deployment environments Evaluate new AI models, frameworks, and cloud services to optimize enterprise capabilities Document model architecture, deployment plans, and operational procedures supporting compliance and ongoing support Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field 7+ years supporting AI/ML model development, deployment, and lifecycle management in enterprise settings Certifications in cloud platforms (AWS, GCP, Azure) or AI/ML tools/supporting frameworks are a plus Extensive experience deploying secure, scalable, and compliant AI models supporting large operational environments Professional Competencies Strong analytical and troubleshooting skills supporting complex model inference and deployment issues Leadership and mentorship in coaching teams on AI best practices and technical excellence Effective stakeholder communication and documentation capabilities supporting enterprise projects Adaptability to rapidly evolving AI frameworks, data security standards, and industry regulations Strategic thinking supporting scalable, secure, and compliant AI solutions supporting enterprise growth Organizational skills for managing model lifecycle, versioning, monitoring, and retraining workflows 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