Python & Generative AI Technology Lead

Location: Bengaluru - Bellandur (GTP), Hyderabad Eco Park

Time Type: Full time

Job Description

Job Summary

Synechron is seeking a Python + AI Technology Lead to guide the design, development, and delivery of scalable software and artificial intelligence solutions. The role combines hands-on technical leadership with team management, stakeholder engagement, technology strategy, and delivery oversight.

The position will translate business requirements into secure, maintainable, and measurable technology solutions. The successful candidate will lead cross-functional teams, provide technical direction, evaluate emerging technologies, and maintain technology roadmaps aligned with Synechron’s business objectives.

This role contributes to business performance by improving delivery efficiency, enabling responsible adoption of AI, strengthening engineering practices, and supporting the development of reliable and sustainable technology platforms.

Software Requirements

Required Software Skills

• Python 3.10 or later: Minimum 5 years of professional development experience, including production-grade application development, automation, API development, testing, and performance optimization.
• AI and machine learning platforms: Practical experience developing, integrating, or deploying AI and machine learning solutions in production environments.
• Generative AI and large language model technologies: Experience with prompt design, retrieval-augmented generation, model evaluation, AI application development, and responsible AI controls.
• Version control systems: Minimum 5 years of experience using Git-based workflows, including branching strategies, pull requests, code reviews, and release management.
• Project management tools: Experience using tools such as Jira, Azure Boards, or equivalent platforms for backlog management, sprint planning, dependency tracking, and delivery reporting.
• Continuous integration and continuous delivery tools: Experience with CI/CD pipelines for automated testing, security checks, packaging, and deployment.
• Containerization and orchestration tools: Working experience with Docker and Kubernetes or equivalent technologies for packaging and operating applications.
• Cloud platforms: Practical experience with at least one major cloud platform, including cloud-native application development, identity management, networking, monitoring, and cost controls.
• Relational and non-relational databases: Experience with SQL-based databases, data modeling, query optimization, and at least one NoSQL or vector database.
• API development and testing tools: Experience with RESTful APIs, OpenAPI specifications, API testing, authentication, and service integration.
• Agile delivery tools and practices: Demonstrated experience using Agile methodologies, estimation techniques, sprint metrics, retrospectives, and iterative delivery practices.

Preferred Software Skills

• Experience with Python 3.12 or later and modern dependency management practices.
• Experience with AI and machine learning libraries such as PyTorch, TensorFlow, scikit-learn, pandas, NumPy, or equivalent tools.
• Experience with orchestration and workflow tools for AI and data pipelines.
• Experience with vector databases, embedding services, model registries, and model monitoring platforms.
• Experience with infrastructure-as-code tools such as Terraform or equivalent technologies.
• Experience with observability platforms covering logs, metrics, traces, alerting, and service-level indicators.
• Experience with data processing technologies for batch and streaming workloads.
• Experience with software architecture documentation tools and modeling standards.
• Experience with FinOps, cloud cost optimization, and resource utilization monitoring.
• Experience applying automated quality gates, static analysis, dependency scanning, and software composition analysis.

Overall Responsibilities

• Lead cross-functional technology teams delivering Python, AI, data, and cloud-based solutions.
• Define technical approaches, architecture decisions, delivery plans, and measurable outcomes for technology initiatives.
• Provide technical guidance, mentoring, code review support, and career development input for team members.
• Translate business requirements into secure, scalable, maintainable, and testable technology solutions.
• Establish engineering standards for coding, testing, documentation, deployment, observability, and operational support.
• Drive successful delivery of projects by managing scope, dependencies, risks, resources, timelines, and delivery quality.
• Identify process improvements and implement changes that reduce rework, improve cycle time, and increase delivery predictability.
• Evaluate new technologies and make evidence-based recommendations based on business value, security, scalability, maintainability, and cost.
• Develop and maintain technology roadmaps aligned with organizational priorities and measurable business outcomes.
• Manage vendor relationships, assess service performance, support contract negotiations, and monitor delivery against agreed commitments.
• Promote responsible AI practices, including privacy protection, transparency, human oversight, bias monitoring, and appropriate model governance.
• Support sustainable engineering practices by promoting efficient use of cloud resources, responsible data storage, and optimized compute consumption.

Performance Outcomes and Expectations

• Technology initiatives are delivered against agreed scope, timelines, quality measures, and risk controls.
• Solutions meet defined standards for security, reliability, scalability, maintainability, and operational readiness.
• Teams demonstrate improved delivery predictability, engineering consistency, and knowledge sharing.
• Technology roadmaps remain current and traceable to business priorities.
• AI solutions are evaluated using documented performance, safety, fairness, explainability, and operational criteria.
• Vendor performance, technology costs, and delivery dependencies are actively monitored and managed.

Technical Skills (By Category)

Programming Languages

Essential

• Python 3.10 or later, with strong experience in object-oriented programming, functional concepts, asynchronous programming, testing, packaging, and performance optimization.
• SQL for data retrieval, transformation, validation, and performance analysis.
• Familiarity with shell scripting for automation and deployment activities.

Preferred

• Experience with Java, JavaScript, TypeScript, or another enterprise programming language.
• Experience developing high-throughput, concurrent, or event-driven applications.
• Experience writing reusable libraries and software development kits.

Databases and Data Management

Essential

• Strong understanding of relational database design, normalization, indexing, transactions, and query optimization.
• Experience with at least one relational database and one NoSQL database.
• Knowledge of data structures, data modeling, data quality controls, and data lifecycle management.
• Experience working with data privacy, retention, access control, and audit requirements.

Preferred

• Experience with vector databases and embedding storage.
• Experience with data warehouses, data lakes, streaming data, or distributed processing.
• Experience implementing metadata management, lineage, and data governance practices.

Cloud Technologies

Essential

• Professional experience with at least one major cloud platform.
• Understanding of cloud architecture, networking, compute, storage, identity and access management, monitoring, and resilience.
• Experience deploying and operating Python or AI services in cloud environments.
• Ability to assess cloud resource usage, reliability, security, and cost.

Preferred

• Multi-cloud or hybrid-cloud architecture experience.
• Experience with serverless computing, managed AI services, and cloud-native databases.
• Experience with infrastructure-as-code and automated environment provisioning.
• Experience applying cloud sustainability and cost optimization practices.

Frameworks and Libraries

Essential

• Experience with Python web frameworks such as FastAPI, Flask, or Django.
• Experience with testing tools such as pytest or equivalent frameworks.
• Experience with data and AI libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or comparable technologies.
• Experience developing RESTful services and integrating external APIs.
• Understanding of model evaluation, validation, monitoring, and versioning.

Preferred

• Experience with generative AI application frameworks and retrieval-augmented generation patterns.
• Experience with natural language processing, computer vision, predictive analytics, or recommendation systems.
• Experience with model serving, feature management, experiment tracking, and MLOps practices.
• Experience with workflow orchestration and distributed task processing.

Development Tools and Methodologies

Essential

• Git-based source control, pull requests, code reviews, and release management.
• CI/CD pipelines with automated testing and deployment controls.
• Docker or equivalent container technology.
• Kubernetes or equivalent orchestration technology.
• Agile development methodologies, including Scrum or Kanban practices.
• Experience with project management tools such as Jira, Azure Boards, or equivalent platforms.
• Knowledge of software architecture principles, design patterns, domain-driven design, and API-first development.
• Experience with technical documentation, architecture decision records, and operational runbooks.

Preferred

• Infrastructure-as-code tools such as Terraform or equivalent.
• Event-driven architecture, messaging platforms, and distributed systems.
• Continuous security, automated compliance, and software supply-chain controls.
• Experience leading engineering maturity assessments and process improvement initiatives.

Security Protocols

Essential

• Understanding of secure software development lifecycle practices.
• Experience with authentication and authorization standards, including OAuth 2.0, OpenID Connect, role-based access control, and secure API design.
• Knowledge of encryption in transit and at rest, secrets management, and secure configuration.
• Experience identifying and mitigating common application, data, and cloud security risks.
• Understanding of privacy, data protection, access governance, and audit requirements relevant to AI and software systems.

Preferred

• Experience with threat modeling, penetration testing remediation, and security architecture reviews.
• Experience with model security, prompt injection controls, data leakage prevention, and AI safety testing.
• Security or cloud certifications relevant to the role.

Experience Requirements

• Required: At least 8 years of experience in software development, technology delivery, or related engineering roles, including substantial experience with Python.
• Required: Demonstrated experience leading cross-functional technology teams and delivering software, AI, data, or cloud initiatives from planning through implementation and operational handover.
• Required: Experience translating business requirements into technical designs, managing delivery risks, and communicating decisions to technical and non-technical stakeholders.
• Preferred: Experience in financial services, technology consulting, regulated industries, or other environments requiring strong controls, data protection, and auditability.
• Alternative pathways: Candidates may qualify through a combination of relevant professional experience, open-source contributions, technical leadership, architecture ownership, advanced training, or demonstrable delivery of production-grade Python and AI solutions in place of some traditional credential or industry requirements.

Day-to-Day Activities

• Collaborate with internal stakeholders to clarify requirements, define success measures, prioritize work, and convert business needs into technical delivery plans.
• Lead cross-functional teams through architecture reviews, sprint planning, engineering execution, risk management, technical problem-solving, and delivery governance.
• Review solution designs, code quality, AI model performance, security controls, operational readiness, and project deliverables while maintaining technology roadmaps.
• Make informed decisions on technical direction, technology adoption, vendors, delivery priorities, and process improvements within agreed governance and budget parameters.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline; equivalent relevant professional experience may be considered.
• At least 8 years of experience in technology leadership and software development, with significant experience delivering Python-based solutions.
• Preferred certifications include cloud architecture, Agile delivery, project management, data engineering, AI, or information security credentials relevant to the role.
• Completion of role-relevant training in secure development, responsible AI, cloud technologies, software architecture, and delivery management is expected.
• Commitment to continuous professional development through structured learning, technical communities, certifications, mentoring, and practical application of emerging technologies.

Professional Competencies

• Applies critical thinking, structured analysis, and evidence-based problem-solving to resolve technical and delivery challenges.
• Leads cross-functional teams through clear direction, inclusive collaboration, technical mentoring, accountability, and knowledge sharing.
• Communicates technical concepts clearly and manages stakeholder expectations, negotiations, dependencies, and delivery commitments.
• Adapts to changing requirements, learns new technologies, and applies feedback to improve solutions and working practices.
• Evaluates opportunities for innovation by balancing business value, feasibility, security, sustainability, maintainability, and responsible AI considerations.
• Plans and prioritizes work effectively, manages competing demands, escalates risks appropriately, and delivers agreed outcomes within defined constraints.

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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