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 17,000+, and has 58 offices in 22 countries within key global markets.
Our challenge
We are seeking a hands-on GenAI Lead / Architect to design, develop, and deploy enterprise-scale Generative AI solutions. The role focuses on Agentic AI, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering.
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 New York, NY is $115k - $130k/year & benefits (see below).
The Role
Responsibilities:
- Lead the architecture, design, and implementation of enterprise GenAI platforms and applications.
- Design Agentic AI and multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or Llama Index.
- Build and optimize RAG pipelines, vector search solutions, embedding workflows, and enterprise knowledge systems.
- Develop AI solutions for business process automation, knowledge management, intelligent document processing, conversational AI, decision support, and developer productivity.
- Build scalable APIs and microservices using Python, FastAPI, or Flask.
- Implement AI monitoring, observability, security, governance, guardrails, and responsible AI practices.
- Optimize prompts, context management, model performance, latency, reliability, and cost.
- Drive cloud deployment, CI/CD, DevOps, and MLOps practices.
- Collaborate with stakeholders to identify AI opportunities and translate business needs into scalable solutions.
- Mentor engineering teams and establish enterprise AI best practices.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
- Strong expertise in Generative AI and LLMs, including OpenAI GPT, Claude, Gemini, Llama, or Mistral, with knowledge of prompt engineering, fine-tuning, function calling, tool integration, agent orchestration, context management, and memory handling.
- Proficiency in Python and experience building REST APIs, microservices, and enterprise integrations using FastAPI or Flask.
- Practical experience with RAG architecture, vector databases, embedding models, semantic and hybrid search, and document ingestion pipelines, using technologies such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus, Elasticsearch, or OpenSearch.
- Knowledge of Docker, Kubernetes, CI/CD, GitHub Actions, Jenkins, GitLab CI, Terraform, and cloud platforms such as AWS, Azure, or GCP. Familiarity with MLOps, model deployment, monitoring, logging, AI governance, security, SQL/NoSQL databases, and data pipelines. Strong communication, problem-solving, and stakeholder management skills.
Preferred, but not required:
- Working knowledge of Angular, TypeScript, or React.
- Experience building AI copilots, enterprise assistants, conversational interfaces, or AI-powered user experiences.
- Familiarity with MCP (Model Context Protocol).
- Experience with Apache Airflow, n8n, Temporal, or Camunda.
- Knowledge of AI security, responsible AI, governance, and model evaluation frameworks.
- Ability to balance innovation with scalability, reliability, security, and operational excellence.
We offer:
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 22 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 opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
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.
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