Senior/ Lead Gen AI Engineer

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our Challenge:

A Generative AI (Gen AI) Senior / Lead is responsible for guiding the strategy, design, development, and deployment of AI and ML solutions within an organization. They provide expertise on generative models, machine learning algorithms, and data science practices, and often lead cross-functional teams to deliver innovative AI-driven products and services.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Piscataway, NJ is $130K - $140K/year & benefits (see below).

Responsibilities:

• Develop and oversee the implementation of generative AI and ML strategies aligned with business objectives.
• Design, develop, and optimize advanced ML models, including generative models such as GPT, GANs, VAEs, and others.
• Lead data collection, cleaning, and feature engineering efforts to prepare high-quality datasets for modeling.
• Collaborate with data scientists, data engineers, and software engineers to integrate AI/ML models into applications and platforms.
• Conduct research on emerging AI/ML technologies, frameworks, and best practices, and recommend adoption.
• Lead the evaluation and validation of AI/ML models, ensuring accuracy, robustness, and fairness.
• Mentor team members, providing technical guidance, code reviews, and best practices.
• Translate complex AI/ML concepts into clear business insights and technical documentation.
• Drive innovation and pilot projects for new AI applications, including natural language processing (NLP), computer vision, and other generative tasks.
• Ensure AI solutions comply with ethical standards, privacy, and security regulations.

Requirements:

• Extensive experience in designing and deploying AI/ML models, particularly in generative AI.
• Strong proficiency in Python, R, or other relevant programming languages.
• Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Deep understanding of deep learning architectures, NLP, computer vision, and generative modeling.
• Proven experience leading AI/ML projects from conception to production.
• Strong knowledge of data structures, algorithms, and statistical analysis.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Leadership experience and ability to guide cross-functional teams.
• Advanced degree (Master’s, PhD) in Computer Science, Data Science, AI, Machine Learning, or related fields.

Preferred, but not required:

• Publications or patents in AI/ML research areas.
• Experience with cloud-based AI services such as AWS SageMaker, Azure ML, or Google AI Platform.
• Familiarity with MLOps practices for model deployment, monitoring, and maintenance.
• Knowledge of ethical AI, fairness, and bias mitigation strategies.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training op…