Gen AI Architect (Charlotte)

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

Our challenge:

We are seeking an experienced Generative AI Architect to lead the design and implementation of enterprise-grade AI solutions. The ideal candidate will have a strong foundation in machine learning, data platforms, analytics, and software architecture, along with hands-on experience building and deploying solutions using Large Language Models (LLMs) and other generative AI technologies.

The candidate will work closely with business stakeholders, data scientists, software engineers, product teams, and technology leaders to define AI strategies, identify high-value use cases, and deliver secure, scalable, and production-ready Generative AI platforms and applications.

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:

• Define and lead the Generative AI architecture and technology strategy for enterprise solutions.
• Identify and evaluate high-value Generative AI use cases across business functions.
• Design scalable, secure, reliable, and cost-effective AI platforms and applications.
• Architect solutions using Large Language Models, foundation models, multimodal models, and AI agents.
• Lead the integration of Generative AI capabilities into existing enterprise applications and platforms.
• Design data architectures that support AI and ML workloads, including data ingestion, processing, governance, quality, and lineage.
• Collaborate with data science and engineering teams to operationalize machine learning and Generative AI models.
• Define model selection, benchmarking, evaluation, and optimization strategies.
• Establish architecture standards, reusable patterns, reference architectures, and implementation guidelines.
• Drive responsible AI practices covering security, privacy, fairness, explainability, governance, and regulatory compliance.
• Design guardrails for model safety, hallucination mitigation, prompt injection protection, and sensitive data handling.
• Lead technical discussions with senior stakeholders, customers, vendors, and engineering teams.
• Assess cloud AI services, open-source models, commercial foundation models, and emerging technologies.
• Guide proof-of-concepts and transition successful solutions into production.
• Provide technical leadership and mentorship to architects, data scientists, ML engineers, and application developers.
• Define operational practices for model monitoring, observability, drift detection, performance measurement, and cost management.
• Develop architecture documents, solution blueprints, technical proposals, and implementation roadmaps.

Requirements:

• Experience in software engineering, data, machine learning, solution architecture, or related technology roles.
• Strong experience designing and delivering Generative AI and Machine Learning solutions.
• Strong background in data architecture, data engineering, data platforms, and enterprise data management.
• Hands-on experience with Large Language Models and foundation models
• Strong understanding of Generative AI concepts
• Experience designing and implementing enterprise RAG architectures.
• Strong understanding of machine learning algorithms, deep learning, NLP, and model lifecycle management.
• Experience with data lakes, data warehouses, lakehouse platforms, and distributed data processing.
• Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, or equivalent.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Strong knowledge of APIs, microservices, event-driven architectures, and cloud-native design.
• Experience with vector databases and search technologies such as Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, OpenSearch, or equivalent.
• Experience designing data pipelines using technologies such as Spark, Kafka, Airflow, Databricks, or equivalent.
• Strong understanding of data governance, data security, privacy, metadata, quality, and lineage.
• Experience implementing MLOps, LLMOps, CI/CD, model deployment, and model monitoring practices.
• Excellent architecture documentation, communication, presentation, and stakeholder management skills.
• Ability to translate business requirements into practical and scalable AI solutions.

Preferred, but not required:

• Experience leading enterprise-wide Generative AI transformation programs.
• Experience building AI-powered copilots, virtual assistants, intelligent search, document intelligence, recommendation systems, or workflow automation solutions.
• Experience with autonomous or semi-autonomous AI agents and multi-agent systems.
• Experience with knowledge graphs and graph-based retrieval.
• Experience with multimodal AI involving text, images, audio, video, and documents.
• Familiarity with AI governance frameworks and standards such as NIST AI RMF, ISO/IEC 42001, or equivalent.

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.