Job Summary
Synechron is hiring a Generative AI/LLM Engineer to drive the design and implementation of advanced AI solutions. This role involves building and deploying Large Language Models (LLMs) and agentic AI systems within scalable enterprise environments. The ideal candidate will contribute to AI-led digital transformation by developing high-performance models and integrating them with business applications, primarily leveraging Google Cloud Platform (GCP).
Software Requirements
Required Skills
In-depth expertise in Generative AI and Agentic AI technologies
Programming proficiency in Python (3.8+), with experience in frameworks such as PyTorch, TensorFlow, or similar for AI model development
Familiarity with cloud AI services like Google Cloud Platform (GCP) including BigQuery and Vertex AI (or equivalent across AWS/Azure)
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
Design, develop, fine-tune, and deploy LLMs and Generative AI models
Build and implement Retrieval-Augmented Generation (RAG) pipelines
Develop scalable APIs and microservices for AI model consumption
Optimize models for performance, scalability, latency, and cost efficiency
Build reusable ML pipelines, feature engineering frameworks, and data workflows
Collaborate with cross-functional teams (Data Engineering, Product, Cloud, and Applications)
Evaluate emerging AI technologies and recommend adoption strategies
Ensure adherence to security, compliance, and data privacy standards
Provide technical mentorship and guidance to junior team members
Technical Skills (By Category)
Programming Languages
Essential: Python
Preferred: Java (for multi-language project needs)
Databases/Data Management
Essential: SQL (BigQuery preferred), NoSQL databases
Preferred: Data modeling concepts, data pipelines, ORM concepts
Cloud Technologies
Essential: Knowledge of cloud computing platforms and infrastructure
Preferred: Experience with cloud-native services and multi-cloud deployments (GCP preferred)
Frameworks and Libraries
Essential: TensorFlow, PyTorch, Keras; LLMs, Generative AI, and RAG architectures
Preferred: Hugging Face ecosystems, REST APIs, and microservices patterns
Development Tools and Methodologies
Essential: Git (version control), API development (FastAPI/Flask), Agile methodologies
Preferred: CI/CD tooling for ML (e.g., MLflow pipelines), testing frameworks, automation utilities
Security Protocols
Essential: Security and data privacy considerations in AI deployments
Preferred: Encryption, secrets management, governance practices
Experience Requirements
Years of Experience: 4 to 10 years
Domain Experience: Technology leadership and software development with AI focus
Industry Experience Preferences: Enterprise environments; cross-functional collaboration
Alternative Experience Pathways: Significant hands-on AI/ML leadership and delivery experience
Day-to-Day Activities
Collaborate with stakeholders to define AI project scope and success metrics
Lead development, training, and deployment of Python-based AI solutions
Mentor and guide engineers on AI best practices and project execution
Evaluate new AI tools and techniques and recommend improvements
Develop and maintain technology roadmaps and architectural guidelines
Document processes and share knowledge across teams
Manage timelines, risks, and dependencies; support governance and compliance
Qualifications
Educational Requirements: Bachelor’s or Master’s degree in Computer Science, Information Technology, AI/ML, Data Science, or related field
Certifications: AI/ML or cloud AI certifications are advantageous
Training: Ongoing professional development in AI technologies and best practices
Equivalency: Relevant hands-on experience may be considered in place of formal degrees
Soft Skills
Excellent verbal and written communication
Ability to work in a fast-paced environment
Strong customer-focused approach
Team-oriented with the ability to work independently
Positive attitude and strong work ethic
Flexibility and adaptability in a changing environment
Professional Competencies
Critical thinking and problem-solving
Leadership and teamwork (mentoring and guiding peers)
Communication and stakeholder management
Adaptability and learning orientation
Innovation mindset
Time and priority management
SYNECHRON’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
