Job Description

Synechron is seeking an experienced Python & Agentic AI Lead to spearhead cutting-edge artificial intelligence projects, focusing on autonomous, agent-based solutions. This role involves developing scalable AI architectures, leading cross-functional teams, and evaluating new technological advancements to foster innovation. The ideal candidate will possess deep expertise in Python, agentic AI frameworks, and cloud platforms, aligning strategic AI initiatives with business goals while mentoring team members in best practices.

Software Requirements

Required:

• Strong hands-on experience with Python for AI development, automation, and integration tasks.

• Deep understanding of agent-based AI frameworks, such as AgentCore, LangChain, or equivalent.

• Strong proficiency with cloud platforms, especially AWS, for deploying and managing AI solutions.

• Hands-on experience creating scalable, secure, and autonomous AI systems.

• Familiarity with APIs, REST, and data integration techniques.

• Experience with containerization tools such as Docker and orchestration platforms like Kubernetes

Preferred:

• Experience with serverless architectures such as AWS Lambda

• Knowledge of enterprise data storage including relational and NoSQL databases.

• Exposure to DevOps practices, CI/CD pipelines, and infrastructure automation tools.

• Familiarity with AI/ML libraries such as TensorFlow, PyTorch, or DeepResearch stacks.

Overall Responsibilities

• Lead the design, implementation, and deployment of autonomous agent-based AI systems utilizing Python and cloud platforms.

• Mentor and guide teams working on agentic AI projects, ensuring adherence to best practices and standards.

• Explore and evaluate emerging AI technologies and frameworks for potential adoption in strategic initiatives.

• Collaborate with product, data science, engineering, and architecture teams to define requirements and formulate scalable, secure AI solutions.

• Develop and maintain technical roadmaps aligned with organizational AI strategy.

• Oversee integration of agent-based systems with enterprise data, APIs, and other business-critical systems.

• Ensure AI system security, reliability, and explainability, adhering to governance and compliance standards.

Expected Outcomes:
Successful delivery of autonomous, scalable AI solutions that enhance process automation, decision-making, and operational efficiencies.

Technical Skills (By Category)

Programming Languages:

• Essential: Python (advanced proficiency in AI and automation)

• Preferred: Java, C++, or other languages for systems integration

Frameworks & Libraries:

• Essential: AgentCore, LangChain, TensorFlow, PyTorch, DeepResearch (or similar)

• Preferred: Reinforcement learning tools, custom agent frameworks

Cloud Technologies:

• Essential: AWS (EC2, Lambda, S3, API Gateway, EKS)

• Preferred: Azure, GCP, cloud-native AI deployment

Data & Storage:

• Knowledge of relational (SQL) and NoSQL (DynamoDB, MongoDB) databases for data storage and retrieval.

DevOps & Automation:

• Essential: Docker, Kubernetes, CI/CD pipelines (such as GitHub Actions, TeamCity)

• Preferred: Infrastructure as Code (Terraform, CloudFormation)

Security & Compliance:

• Understanding of security practices concerning data privacy, model security, and AI governance frameworks.

Experience Requirements

• Minimum of 8+ years supporting AI/ML projects, with substantial experience building agent-based systems.

• Proven experience designing, deploying, and managing autonomous AI architectures at enterprise scale.

• Demonstrated success leading cross-functional teams on AI initiatives from conception to production.

• Industry experience in finance, healthcare, or enterprise IT solutions is preferred; relevant R&D or academic project experience is acceptable.

Day-to-Day Activities

• Architect, develop, and deploy agent-based AI systems, leveraging Python and cloud platforms.

• Lead teams through technical design, implementation, testing, and deployment phases.

• Collaborate closely with stakeholders to align AI solutions with strategic goals and compliance standards.

• Explore and suggest new frameworks and technologies for autonomous AI capabilities.

• Monitor, troubleshoot, and optimize AI systems, ensuring operational performance and security.

• Document system architecture, agent behaviors, and deployment procedures.

• Facilitate code reviews, knowledge sharing, and process improvements.

Qualifications

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

• 8+ years of experience in AI development, with a focus on agent-based systems and cloud deployment.

• Relevant certifications in cloud platforms or AI frameworks are a plus.

• Strong analytical, problem-solving, and leadership skills.

• Excellent communication skills for stakeholder engagement and technical documentation.

Professional Competencies

• Critical thinking and innovative problem-solving in complex agent systems.

• Leadership qualities to guide and mentor technical teams.

• Effective communication of AI concepts to non-technical stakeholders.

• Ability to adapt swiftly to emerging AI frameworks and cloud technologies.

• Ownership of project outcomes, emphasizing security, reliability, and scalability.

• Time and resource management to deliver strategic AI projects on schedule.

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