GenAI Developer

Synechron; New York (NY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Global offices abroad

Paid time off (10 annual + 10 personal

Comprehensive insurance (medical, dent

Flexible hybrid policy

RRSP with employer's contribution

Education and certification policy

Udemy for Business access

Coaching with FinLabs/CoEs

Projects with top banks and financials

Diverse global culture

Job summary

Synechron in New York City seeks an experienced GenAI Developer to lead design, development, and deployment of Generative AI solutions across the organization. You will drive end-to-end GenAI initiatives, collaborating with business, product, data, and security teams to identify high-value use cases and deliver scalable, secure AI outcomes.

The role emphasizes architecture, model selection, prompt engineering, and production-grade APIs using Python, with a strong focus on responsible AI,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or Engineering.
• 6+ years in software engineering, data science, ML, or AI solution development.
• 3+ years delivering AI/ML or Generative AI solutions.
• Strong Python programming skills.
• Strong understanding of LLMs, transformer architectures, embeddings, tokens, context windows, and inference.
• Hands-on experience with RAG architectures and LLM application development.
• Experience with prompt engineering, model evaluation, and AI response optimization.
• Experience working with vector databases and semantic search.
• Strong knowledge of REST APIs, microservices, and cloud-native development.
• Experience with LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud.
• Good understanding of databases, data pipelines, unstructured data, and knowledge management.
• Familiarity with CI/CD, Docker, Kubernetes, monitoring, and MLOps practices.
• Strong knowledge of software architecture, design patterns, scalability, and performance optimization.
• Excellent analytical, communication, leadership, and stakeholder-management skills.

Responsibilities

• Lead end-to-end design and implementation of GenAI solutions.
• Define the organization’s GenAI technical strategy, architecture, standards, and best practices.
• Identify and evaluate business use cases suitable for GenAI adoption.
• Design and develop LLM-powered applications, AI agents, copilots, chatbots, and automation solutions.
• Build and implement Retrieval-Augmented Generation pipelines using enterprise data sources.
• Work with foundation models such as OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, Meta Llama, or equivalent models.
• Develop prompt engineering strategies, prompt templates, evaluation frameworks, and guardrails.
• Design data ingestion, document processing, embedding, chunking, indexing, and retrieval workflows.
• Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, or managed cloud alternatives.
• Lead model selection, fine-tuning, prompt tuning, and optimization based on business requirements.
• Develop scalable APIs and backend services using Python and appropriate frameworks.
• Establish practices for model evaluation, hallucination reduction, response quality, latency, and cost optimization.
• Ensure solutions comply with security, privacy, responsible AI, governance, and regulatory requirements.
• Collaborate with data scientists, ML engineers, software developers, DevOps, product managers, and business stakeholders.
• Mentor engineers and provide technical guidance across GenAI initiatives.
• Conduct technical reviews, proof-of-concepts, and architecture assessments.
• Monitor production systems and continuously improve performance, reliability, and user experience.
• Stay updated with emerging developments in LLMs, multimodal AI, agentic AI, and AI infrastructure.

Skills

Python

LLMs

RAG

Cloud platforms

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

REST APIs

Microservices

CI/CD

Docker

Kubernetes

MLOps

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

OpenAI

Azure OpenAI

Job description

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 17000+, and has 58 offices in 22 countries within key global markets.

We are looking for an experienced GenAI Developer to drive the design, development, and implementation of Generative AI solutions across the organization. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI/ML engineering, cloud platforms, and production-grade application development.

The GenAI Lead will work closely with business, product, engineering, data, and security teams to identify high-value AI use cases and deliver scalable, secure, responsible, and measurable GenAI solutions.

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 City, NY is $100K - $120K & benefits (see below).

The Role

Responsibilities:

• Lead the end-to-end design and implementation of Generative AI solutions.
• Define the organization’s GenAI technical strategy, architecture, standards, and best practices.
• Identify and evaluate business use cases suitable for GenAI adoption.
• Design and develop LLM-powered applications, AI agents, copilots, chatbots, and automation solutions.
• Build and implement Retrieval-Augmented Generation pipelines using enterprise data sources.
• Work with foundation models such as OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, Meta Llama, or equivalent models.
• Develop prompt engineering strategies, prompt templates, evaluation frameworks, and guardrails.
• Design data ingestion, document processing, embedding, chunking, indexing, and retrieval workflows.
• Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, FAISS, or managed cloud alternatives.
• Lead model selection, fine-tuning, prompt tuning, and optimization based on business requirements.
• Develop scalable APIs and backend services using Python and appropriate frameworks.
• Establish practices for model evaluation, hallucination reduction, response quality, latency, and cost optimization.
• Ensure solutions comply with security, privacy, responsible AI, governance, and regulatory requirements.
• Collaborate with data scientists, ML engineers, software developers, DevOps, product managers, and business stakeholders.
• Mentor engineers and provide technical guidance across GenAI initiatives.
• Conduct technical reviews, proof-of-concepts, and architecture assessments.
• Monitor production systems and continuously improve performance, reliability, and user experience.
• Stay updated with emerging developments in LLMs, multimodal AI, agentic AI, and AI infrastructure.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 6+ years of experience in software engineering, data science, machine learning, or AI solution development.
• 3+ years of hands-on experience delivering AI/ML or Generative AI solutions.
• Strong programming skills in Python.
• Strong understanding of Large Language Models, transformer architectures, embeddings, tokens, context windows, and inference.
• Hands-on experience with RAG architectures and LLM application development.
• Experience with prompt engineering, model evaluation, and AI response optimization.
• Experience working with vector databases and semantic search.
• Strong knowledge of REST APIs, microservices, and cloud-native application development.
• Experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud.
• Good understanding of databases, data pipelines, unstructured data, and knowledge management.
• Familiarity with CI/CD, Docker, Kubernetes, monitoring, and MLOps practices.
• Strong knowledge of software architecture, design patterns, scalability, and performance optimization.
• Excellent analytical, communication, leadership, and stakeholder-management skills.

Preferred skills:

• Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar managed GenAI platforms.
• Experience building AI agents and multi-agent systems.
• Knowledge of function calling, tool use, workflow orchestration, and agent memory.
• Experience with multimodal AI involving text, images, audio, or video.
• Knowledge of fine-tuning techniques such as LoRA, PEFT, and supervised fine-tuning.
• Experience with LLM observability and evaluation tools such as LangSmith, Arize, TruLens, MLflow, or equivalent.
• Familiarity with responsible AI, explainability, fairness, privacy, and AI governance frameworks.
• Experience implementing security controls for prompt injection, data leakage, jailbreaks, and malicious inputs.
• Experience with enterprise search, knowledge graphs, OCR, document intelligence, or NLP.
• Relevant cloud, AI, or machine learning certifications.

We offer:

• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
• Flexible hybrid policy.
• RRSP with employer’s contribution up to 4%.
• A higher education certification policy.
• 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 truly diverse, fun-loving and global work culture.

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.