GenAI Solutions Architect: Data, Apps & Platforms

Lynx Analytics; New Jersey; On-site; USD 140,000 - 190,000; Full time

Job summary

Lynx Analytics is seeking a Solution Architect to design the technical solutions behind client engagements and provide delivery teams with a clear path from concept to production.

You will translate complex business problems into practical architectures spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities, while staying hands-on enough to validate architecture decisions through delivery.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or a related field.
• 5–8+ years of experience across data engineering, software engineering and solution or systems architecture.
• Hands-on proficiency in at least one modern language, such as Python or TypeScript.
• Strong understanding of software engineering fundamentals, including API design, testing, security and CI/CD.
• Hands-on experience designing or prototyping LLM-powered applications, agentic workflows or retrieval-augmented generation solutions.
• Understanding GenAI architecture patterns, including model integration, embeddings, vector search, tool calling, evaluation and observability.
• Experience integrating AI applications with enterprise data sources, applications and workflows.
• Experience with AWS, Azure or GCP.
• Experience working in a consulting or client-facing environment, including leading discovery conversations, presenting technical trade-offs and managing ambiguity.
• Experience in life sciences, healthcare or another regulated industry is a strong advantage.

Responsibilities

• Own the end-to-end solution architecture for client engagements, including data models, system design, integration patterns and technology choices.
• Translate business requirements into clear technical designs and implementation paths that delivery teams can build from.
• Design solutions spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities.
• Lead technical discovery with clients: understand requirements, assess existing systems and identify dependencies, constraints and delivery risks.
• Present architectural options and trade-offs clearly to technical teams, business stakeholders and senior leaders.
• Make pragmatic decisions across build speed, cost, scalability, security and maintainability.
• Review key implementation decisions and remain involved through delivery to ensure the solution stays aligned with the intended architecture.
• Identify where GenAI can create meaningful business value - and where conventional software, data engineering or machine learning approaches are more appropriate.
• Design GenAI-enabled applications and workflows using patterns such as retrieval-augmented generation, tool calling, agent orchestration and human-in-the-loop review.
• Evaluate model, data and orchestration options based on solution quality, latency, security, cost and operational requirements.
• Define practical approaches for evaluating and monitoring GenAI solutions, including accuracy, relevance, hallucination, reliability and business impact.
• Establish appropriate security, privacy, guardrail and responsible AI patterns for enterprise and regulated environments.

Skills

Data engineering

Software engineering

Solution architecture

LLM-powered applications

GenAI patterns

API design

Prototyping

Python/TypeScript

Consulting / client-facing

Security & CI/CD

Education

Bachelor’s degree in CS/Engineering

Tools

AWS

Azure

GCP

CI/CD tooling

Job description

Lynx Analytics is seeking a Solution Architect to design the technical solutions behind client engagements and provide delivery teams with a clear path from concept to production.

You will translate complex business problems into practical architectures spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities, while staying hands-on enough to validate architecture decisions through delivery.