Senior AI Agency Engineer & Solutions Architect

EVERSANA

Illinois

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

EVERSANA INTOUCH® seeks a Senior AI Agency Engineer to design, build, and deploy enterprise-grade AI solutions that connect generative AI with client systems, data sources, and workflows. You will lead technical discovery, translate business requirements into scalable solutions, and partner with product, engineering, data, security, and delivery teams to bring production-ready AI offerings to market.

The role blends senior software engineering, solutions architecture, and client-facing

Qualifications

Bachelor's degree in CS, Engineering, Information Systems, or equivalent practical experience.
9+ years in software engineering, solution engineering, technical consulting, platform implementation, or related engineering roles.
5+ years designing and deploying production cloud-based AI, data, or enterprise application solutions.
Advanced programming skills in Python and at least one additional modern language such as JavaScript/TypeScript, C#, Java, or .NET.
Significant experience designing APIs, data pipelines, event-driven architectures, enterprise integrations, authentication and security frameworks, distributed systems.
Hands-on experience with generative AI technologies including LLMs, prompt engineering, RAG, embeddings, vector databases, agent orchestration, AI evaluations, observability and guardrails.
Experience with Git, CI/CD, automated testing, containers, and cloud-native development practices.
Strong communication, consulting, and stakeholder management skills with the ability to influence

Responsibilities

Lead technical discovery sessions with client teams.
Translate business objectives into technical designs and implementation plans.
Design end-to-end solutions connecting AI capabilities with client systems, data sources, content repositories, workflows, and approval environments.
Build production-grade integrations using APIs, webhooks, event-based patterns, secure file exchanges, connector frameworks, and enterprise integration platforms.
Develop AI-enabled workflows using large language models, retrieval-augmented generation, agent orchestration, structured outputs, evaluation frameworks, and human approval checkpoints.
Implement authentication, authorization, identity federation, secrets management, data mapping, error handling, observability, and audit requirements.
Create technical prototypes when needed to validate feasibility, reduce ambiguity, or accelerate client decision‑making.
Support the transition from prototype to stable, supportable production deployment.