AI Architect

Job Description

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 16,700, and has 57offices in 22 countries within key global markets.

Our challenge

We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI and Generative AI solutions. The ideal candidate will have deep expertise in AI/ML architectures, Large Language Models (LLMs), Agentic AI frameworks, cloud platforms, and modern AI development ecosystems. The candidate will drive AI strategy, establish architectural standards, and collaborate with business and technology teams to deliver scalable, secure, and responsible AI 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 Charlotte, NC is $125K - $130K/year & benefits (see below).

The Role

Responsibilities:

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• Design and implement enterprise AI and Generative AI architectures.
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• Define AI technology roadmaps, standards, and best practices.
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• Architect LLM-based applications using Agentic AI frameworks such as LangChain and LangGraph.
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• Lead AI solution design across machine learning, NLP, computer vision, and GenAI use cases.
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• Establish RAG (Retrieval-Augmented Generation) architectures for enterprise knowledge solutions.
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• Design AI platforms leveraging Azure AI Services, Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
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• Define governance, security, compliance, and responsible AI frameworks.
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• Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions.
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• Provide architectural guidance for model selection, prompt engineering, fine-tuning, and deployment strategies.
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• Lead AI performance optimization, scalability, monitoring, and observability initiatives.
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• Mentor development teams and promote AI engineering best practices.
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• Drive enterprise-wide AI adoption and innovation programs.
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Requirements:

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• 10+ years of software engineering and architecture experience.
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• Strong expertise in Generative AI, Machine Learning, and Artificial Intelligence solutions.
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• Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLMs.
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• Expertise in LangChain, LangGraph, Semantic Kernel, CrewAI, or Agentic AI frameworks.
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• Experience designing RAG, Vector Database, and Knowledge Management solutions.
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• Strong programming skills in Python.
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• Experience with vector databases such as Pinecone, Weaviate, Chroma, or Azure AI Search.
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• Expertise in AI model deployment, MLOps, and AI lifecycle management.
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• Experience with Azure, AWS, or GCP cloud platforms.
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• Strong understanding of AI governance, responsible AI, model monitoring, and security.
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• Experience with API architecture, microservices, and enterprise integration patterns.
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• Excellent stakeholder management, leadership, and communication skills.
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Preferred, but not required:

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• Financial Services or Banking domain experience.
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• Experience with AI agents, autonomous workflows, and multi-agent systems.
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• Knowledge of Kubernetes, Docker, and cloud-native architectures.
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• Experience implementing enterprise AI Centers of Excellence (CoE).
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• AI/Cloud certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer).
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We offer:

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• A highly competitive compensation and benefits package.
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• A multinational organization with 57 offices in 22 countries and the possibility to work abroad.
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• 10 days of paid annual leave (plus sick leave and national holidays).
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• Maternity & paternity leave plans.
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• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
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• Retirement savings plans.
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• A higher education certification policy.
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• Commuter benefits (varies by region).
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• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
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• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
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• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
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• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
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• A flat and approachable organization.
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• A truly diverse, fun-loving, and global work culture.
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