Our challengeWe are seeking a Generative AI Architect to lead the design and delivery of secure, scalable, enterprise-grade AI solutions. Ideal candidate will define GenAI architecture standards, guide engineering teams, and help transform business opportunities into production-ready applications using large language models, retrieval-augmented generation, AI agents, and cloud technologies.
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 Charlotte, NC is $120k - $125k/year & benefits (see below).
The RoleResponsibilities:- Define the organization's GenAI architecture, strategy, and technical roadmap.
- Design and oversee scalable solutions using LLMs, RAG, vector databases, AI agents, and multimodal AI.
- Evaluate models, platforms, frameworks, and build-versus-buy options.
- Establish standards for prompt engineering, model evaluation, orchestration, and LLMOps.
- Design cloud-native AI platforms, APIs, data pipelines, and integration patterns.
- Ensure solutions meet requirements for security, privacy, governance, performance, and cost.
- Implement safeguards against hallucinations, prompt injection, data leakage, and unauthorized access.
- Lead architecture reviews, proof-of-concepts, and production deployments.
- Partner with product, data, engineering, security, and business stakeholders.
- Mentor technical teams and communicate complex AI concepts to senior leaders.
Requirements:- Bachelor's or master's degree in computer science, AI, Data Science, Engineering, or a related field.
- Experience in software architecture, engineering, machine learning, or data engineering.
- Hands-on experience designing or delivering GenAI or LLM solutions.
- Very strong knowledge of LLMs, embeddings, prompt engineering, RAG, vector search, and model evaluation.
- Proficiency in Python, Java, JavaScript, TypeScript, or a similar language.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with APIs, microservices, containers, Kubernetes, CI/CD, and distributed systems.
- Understanding of AI security, data privacy, responsible AI, and governance.
- Excellent communication, leadership, and problem-solving skills.
- Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI, Anthropic, Gemini, or open-source models.
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, MLflow, Databricks, or similar tools.
- Experience with AI agents, fine-tuning, knowledge graphs, or multimodal applications.
- Cloud, AI, machine learning, or data engineering certifications.
- Experience in a regulated industry.
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.
