Description

In-depth understanding of Python, AI technologies, and software systems.

Experience using current and supported versions of Python.

Familiarity with project management tools and methodologies.

Knowledge of Agile development methodologies.

Understanding of software architecture and design patterns.

Knowledge of cloud computing platforms and infrastructure.

Knowledge of database management systems and data structures.

Experience with software development lifecycle practices, including requirements analysis, design, development, testing, deployment, and maintenance.

Familiarity with source control, code review, testing, documentation, and release processes.

Ability to evaluate technology options and translate business requirements into technology solutions.

Experience with project management and collaboration tools used for planning, tracking, documentation, and delivery.

Preferred

Experience developing and deploying AI, machine learning, natural language processing, or intelligent automation solutions using Python.

Experience with AI model integration, data preparation, model evaluation, and application development.

Familiarity with machine learning and AI frameworks and libraries.

Experience with cloud-based AI application development and deployment.

Knowledge of APIs, microservices, data pipelines, and distributed application architectures.

Familiarity with DevOps, CI/CD, infrastructure automation, monitoring, and observability tools.

Experience evaluating third-party technologies and managing vendor relationships.

Knowledge of secure, responsible, cost-effective, and sustainable AI implementation practices.

Overall Responsibilities

Lead and manage cross-functional technology teams.

Provide technical guidance and mentorship to team members.

Drive technology initiatives and ensure successful delivery of projects.

Identify areas for improvement and implement process changes to increase efficiency.

Collaborate with internal stakeholders to understand business requirements and translate them into Python- and AI-based technology solutions.

Define or contribute to software architecture, technical designs, integration approaches, and implementation plans.

Evaluate new technologies and make recommendations for adoption.

Develop and maintain technology roadmaps and ensure alignment with overall business strategy.

Manage delivery risks, dependencies, technical issues, and project priorities.

Manage vendor relationships and negotiate contracts in collaboration with relevant stakeholders.

Support the development of scalable, secure, maintainable, and cost-effective Python AI solutions.

Promote effective engineering practices, knowledge sharing, documentation, and continuous improvement.

Consider security, operational efficiency, cost management, and sustainability when selecting and implementing technology solutions.

Technical Skills (By Category)

Programming Languages

Essential

Python using current and supported versions.

Strong understanding of Python programming concepts, object-oriented programming, modular design, exception handling, and testing.

Knowledge of data structures and algorithms.

Ability to develop maintainable, testable, and production-quality Python code.

Understanding of programming practices used in AI and data-driven applications.

Preferred

SQL.

JavaScript or TypeScript.

Experience with scripting languages used for automation or development support.

Experience developing APIs, services, automation scripts, or data-processing applications using Python.

Databases/Data Management

Essential

Knowledge of database management systems.

Strong understanding of SQL, relational databases, and data modeling.

Knowledge of data structures, data quality, and data lifecycle management.

Understanding of database performance, scalability, availability, and security considerations.

Ability to organize and manage data required for AI and software applications.

Preferred

Experience with NoSQL databases.

Experience with vector databases or other data stores used in AI applications.

Knowledge of data pipelines, data preparation, information retrieval, and metadata management.

Experience optimizing queries or data-access patterns.

Familiarity with data governance and responsible data management practices.

Cloud Technologies

Essential

Knowledge of cloud computing platforms and infrastructure.

Understanding of cloud-based application deployment, scalability, availability, monitoring, and cost management.

Ability to assess cloud services and infrastructure options based on business and technical requirements.

Preferred

Experience deploying Python and AI applications on cloud platforms.

Familiarity with containers, orchestration, serverless services, managed databases, storage, networking, and identity services.

Experience with cloud security, infrastructure automation, and cost optimization.

Understanding of efficient and sustainable use of cloud resources.

Frameworks and Libraries

Essential

Experience using Python frameworks and libraries for software development and data processing.

Understanding of framework and library selection, integration, maintenance, and upgrades.

Familiarity with frameworks used to build APIs, services, or application components.

Knowledge of libraries and tools used to support AI, data analysis, or machine learning applications.

Preferred

Experience with machine learning and AI frameworks or libraries.

Knowledge of natural language processing, model integration, model evaluation, and deployment practices.

Familiarity with large language model integration, prompt engineering, embeddings, vector search, or retrieval-augmented generation.

Experience with AI workflow, orchestration, or agent-based frameworks.

Knowledge of model monitoring and performance evaluation.

Development Tools and Methodologies

Essential

Knowledge of Agile development methodologies.

Familiarity with project management tools and software delivery workflows.

Understanding of software architecture, design patterns, and technical documentation.

Experience with version control, code reviews, testing, defect management, and release processes.

Experience leading projects or workstreams involving cross-functional technology teams.

Preferred

Experience with CI/CD pipelines and DevOps practices.

Knowledge of infrastructure as code and automated quality checks.

Familiarity with logging, monitoring, observability, and incident management tools.

Experience with Agile planning, estimation, backlog management, risk tracking, and delivery reporting.

Knowledge of software development lifecycle governance and engineering standards.

Security Protocols

Essential

Understanding of secure software development principles.

Awareness of authentication, authorization, identity and access management, encryption, secrets management, and secure data handling.

Ability to consider security, privacy, and regulatory requirements during solution design and implementation.

Understanding of security and privacy considerations for AI-based applications.

Preferred

Experience applying security controls to cloud-based applications and APIs.

Familiarity with security testing, threat modeling, vulnerability management, and secure coding practices.

Knowledge of AI-specific risks, including sensitive data exposure, unauthorized access, model misuse, and unreliable outputs.

Familiarity with responsible AI governance and monitoring practices.

Experience Requirements

Minimum of 5+ years of experience in technology leadership and software development.

Strong technical expertise in multiple areas of software development and technology.

Experience developing, implementing, and supporting Python-based applications.

Experience contributing to or leading AI, machine learning, data, automation, or intelligent application initiatives is preferred.

Experience leading cross-functional teams and managing projects.

Experience translating business requirements into technical solutions.

Experience with cloud computing platforms and infrastructure.

Knowledge of Agile development methodologies and project management tools.

Experience providing technical guidance and mentorship to team members.

Experience evaluating new technologies and supporting technology adoption decisions.

Experience developing or maintaining technology roadmaps is preferred.

Experience managing vendor relationships and negotiating contracts is preferred.

Experience in technology consulting, financial services, banking, insurance, or other complex enterprise environments is preferred.

Candidates may also qualify through equivalent practical experience, technical leadership of projects or workstreams, professional training, certifications, or a portfolio demonstrating the required capabilities.

Day-to-Day Activities

Collaborate with internal stakeholders to understand business requirements, priorities, constraints, and expected outcomes while contributing to Python AI designs and delivery plans.

Lead cross-functional technology teams, provide technical guidance, participate in Agile meetings, and coordinate with engineering, product, operations, security, data, and business stakeholders.

Evaluate new technologies, maintain technology roadmaps, monitor project progress, manage risks and dependencies, and support successful project delivery.

Mentor team members, manage vendor relationships, support contract discussions, maintain technical documentation, and make or facilitate technical decisions within established governance boundaries.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field; equivalent professional experience may be considered.

Minimum of 5+ years of experience in technology leadership and software development, including relevant Python experience.

Experience with AI, machine learning, data engineering, intelligent automation, or related technology is preferred.

Certifications in cloud computing, Agile, Scrum, project management, AI, machine learning, or software architecture are preferred but are not mandatory unless required for a project.

Complete Synechron-required training and maintain continuous professional development in Python, AI, cloud technologies, security, data management, software architecture, and Agile delivery

Key Skills

Education

Bachelor's or Master's degrees