Senior AI Developer, Engineering

EVERSANA

Senior AI engineer building enterprise generative AI, integrations, and workflows for EVERSANA INTOUCH’s life sciences marketing agency. Leading client discovery, architecture, deployment, and cloud operations.

Posted 9/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $122,000 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-based AI and data solutions, with a strong focus on integration, security, and operational excellence. Proficient in translating complex technical requirements into actionable plans while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Cloud-Based AI Solution DesignAPI Development and IntegrationPython ProgrammingGenerative AI TechnologiesCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSolution EngineeringTechnical ConsultingData Pipeline DevelopmentEvent-Driven ArchitectureAuthentication and Security FrameworksDistributed SystemsContainerization with Docker and KubernetesCloud-Native DevelopmentProgramming in JavaScript/TypeScript, C#, Java, or .NET

Soft Skills

Strong CommunicationConsulting SkillsStakeholder Management

Tools & Technologies

Google Cloud PlatformGitCI/CD ToolsAutomated Testing ToolsEvent-Based Patterns

Industry Keywords

Technical Discovery SessionsEnterprise Application LandscapesIntegration RequirementsData EnvironmentsOperational ModelsTechnical PrototypesAI WorkflowsObservabilityPerformance OptimizationInclusive Behaviors

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerGoogle Cloud PlatformJavaJavaScriptKubernetes.NETPythonTypeScript

About the role

Key responsibilities & impact

Lead technical discovery sessions with client business, IT, architecture, security, data, and operations teams
Translate business objectives and operational challenges into technical requirements, architecture designs, and implementation plans
Assess enterprise application landscapes, integration requirements, data environments, security constraints, and operating models
Serve as a trusted technical advisor to clients and internal stakeholders
Communicate complex AI, data, platform, and integration concepts to technical and executive audiences
Identify technical risks, dependencies, assumptions, and mitigation strategies
Develop technical prototypes and proofs of concept
Design end-to-end solutions connecting AI Agency capabilities with client systems, data sources, content repositories, workflows, and approval environments
Build and configure production-quality integrations using APIs, webhooks, event-based patterns, secure file exchanges, connector frameworks, and enterprise integration platforms
Contribute hands-on code across backend services, integration components, data pipelines, AI workflows, and supporting user experiences
Design and implement AI-enabled workflows using LLMs, RAG, 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
Build and maintain data pipelines supporting reporting, analytics, and AI workflows
Develop cloud-native solutions, preferably on Google Cloud Platform
Implement CI/CD pipelines and automated deployment processes
Build and maintain containerized applications using Docker and Kubernetes
Support monitoring, logging, alerting, observability, production troubleshooting, performance optimization, and incident resolution
Maintain standards of testing, code quality, scalability, and operational excellence
Model inclusive behaviors and perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
9+ years of experience 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, and 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
Eligible for hire in select U.S. locations based on business and operational considerations

Benefits

Comp & perks

Competitive salaries and benefits
Reasonable accommodation during the hiring process for qualified applicants with disabilities
Inclusive culture and Equal Opportunity Employer commitment