Gen AI Engineer | Python & ML

Job Summary Synechron is seeking an experienced Gen AI Engineer to lead innovative projects focused on emerging generative AI and agentic AI technologies. This role involves designing, developing, and implementing AI solutions tailored to transforming business processes, particularly in banking and financial services. The successful candidate will guide technical teams, stay abreast of industry advancements, and contribute to strategic technology adoption to drive organizational growth.

Software Requirements

Required Software Skills: In-depth expertise in Generative AI and Agentic AI technologies

Programming proficiency in Python, with experience in frameworks such as PyTorch, TensorFlow, or similar for AI model development

Familiarity with cloud AI services like AWS SageMaker, Azure Machine Learning, or GCP AI platform

Understanding of APIs and integrations for deploying AI models effectively

Experience with data management tools and version control systems like Git

Preferred Skills: Knowledge of blockchain and IoT as they relate to AI deployment

Experience using automation and orchestration tools in AI workflows

Overall Responsibilities Lead the end-to-end development of generative AI solutions that improve business functionalities and customer experiences

5 years of hands-on experience in Gen Ai/Agentic Ai.

Mentor and guide core team members and junior engineers on AI best practices and project execution

Evaluate and innovate new AI technologies, models, and tools to optimize processes

Collaborate with cross-functional teams, including business stakeholders, data scientists, and development groups, to align AI initiatives with organizational strategies

Stay current with advancements in generative AI, agentic AI, and related emerging fields to maintain a competitive edge

Manage project timelines and deliverables to ensure timely implementation of AI solutions

Document technical designs, best practices, and project insights for ongoing knowledge sharing

Technical Skills (By Category)

Programming Languages: Python (required), R, Java (preferred)

AI Frameworks & Libraries: PyTorch, TensorFlow, GPT/Transformers, OpenAI API, Hugging Face (required)

Data Management: Data preprocessing, management, and model training data pipelines

Cloud Technologies: AWS, Azure, GCP (preferred)

Model Deployment & APIs: REST API development, containerization with Docker, orchestration with Kubernetes

Tools & Methodologies: Agile, CI/CD pipelines, Git version control, model versioning tools

Security & Ethics: Data privacy, AI fairness, and compliance considerations

Experience Requirements At least 5+ years of experience in software development and leading technology projects

Proven track record of delivering AI solutions that enhance business operations

Experience mentoring engineering teams in AI project execution

Industry experience in banking, finance, or enterprise environments preferred

Alternative experience: extensive innovation in AI, natural language processing, or digital transformation initiatives

Day-to-Day Activities Lead AI model development, training, and deployment activities

Provide technical mentorship and oversee project execution phases

Collaborate with cross-disciplinary teams to define AI project scope and success metrics

Conduct research on cutting-edge AI techniques and incorporate them into organizational solutions

Evaluate emerging AI tools and recommend improvements for efficiency and scalability

Document processes, train stakeholders, and ensure ethical AI practices are followed

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field

• Certifications in AI, machine learning, or cloud AI platforms are advantageous

• Continued professional development in emerging AI technologies and best practices

• Professional Competencies Critical thinking and innovative problem solving in complex technical challenges

• Strong leadership skills and ability to manage technical teams effectively

• Excellent communication skills to articulate technical concepts to non-technical audiences

• Adaptability to rapid technological changes and evolving business needs

• Keen interest in emerging AI trends with a focus on sustainable and ethical AI development

• Strong organizational skills for managing multiple projects and deadlines

• 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 .

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