AI Solutions Expert

Lexical Intelligence; Bethesda (MD); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Retirement plan

HSA

Paid time off

Federal holidays

Job summary

Lexical Intelligence is seeking an Artificial Intelligence Solutions Engineer to design, develop, and operationalize AI-driven capabilities for a federal client in Bethesda, MD. You will lead pilots, implement AI solutions, and integrate foundation models within a shared infrastructure, ensuring scalable, secure deployments.

The role requires strong Python and AI/ML development skills, experience with cloud environments, and the ability to deliver end-to-end solutions across data preparation,

Qualifications

• Eight to ten years of relevant experience in AI/ML development and deployment.
• Experience delivering end-to-end AI solutions in production environments.
• Strong background in algorithms, data structures, testing, and system design.
• Ability to work with large, complex datasets and translate findings into usable outputs.
• Experience with cloud and containerized environments (AWS, Kubernetes).
• Ability to obtain Public Trust Clearance.

Responsibilities

• Design, develop, and operationalize AI-driven capabilities for a federal client.
• Pilot and implement AI solutions, including lightweight apps within shared infrastructure.
• Integrate foundation models and translate AI techniques into practical tools.
• Support data preparation, model integration, evaluation, deployment, and monitoring.
• Collaborate with cross-functional teams to ensure scalable, secure solutions.

Skills

Python

AI/ML development

Model integration

Cloud & containers

Data analysis

Frameworks

Communication

Public Trust Clearance

Education

Bachelor’s degree in Computer Science/Software Engineering/Data Science

Ph.D. or advanced Master’s degree (preferred)

Tools

AWS

Kubernetes

Databricks

Spark

Job description

Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our NLP and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.

We are looking for an Artificial Intelligence (AI) Solutions Engineer with analytical experience to work for a federal client in Bethesda, MD. The AI Solutions Engineer will design, develop, and operationalize AI-driven capabilities that enable advanced automation and decision support across a range of applications. This role focuses on piloting and implementing AI solutions, including standing up lightweight applications and applets within a shared infrastructure environment, integrating foundation models, and translating emerging AI techniques into practical tools. The engineer will work across the full lifecycle of AI systems, supporting data preparation, model integration, evaluation, deployment, and monitoring, while collaborating with cross-functional teams to ensure solutions are scalable, reliable, and aligned with mission needs. Experience developing and deploying AI or machine learning–based applications, as well as working with large and complex datasets and modern AI tooling, is required.The AI Solutions Engineer shall be process oriented, and able to work well within a team of analysts, data scientists, and software developers. Applicants selected will be subject to a pre-employment background and reference check.

Qualifications

Minimum qualifications: Eight to 10 years of relevant experience with the items below:

• Strong programming and AI/ML development skills, including Python, experience with modern frameworks, and with integrating AI models into existing software architectures
• Experience designing and deploying AI solutions end-to-end, including integrating models into applications or shared infrastructure
• Strong background in algorithm design and data structures; comfort with software testing, debugging, and system architecture
• Solid data analysis and data engineering capability, including working with large datasets and translating findings into usable outputs
• Proficiency with cloud-based and containerized environments (e.g., AWS, Kubernetes) to support scalable AI workloads
• Ability to evaluate, iterate, and operationalize AI solutions, including performance measurement, experimentation, and collaboration with cross-functional teams
• Bachelor’s degree in Computer Science, Software Engineering, Data Science or related quantitative area
• Ability to obtain a Public Trust Clearance

Preferred qualifications:

• Ph.D. or advanced Master’s degree in a relevant scientific or quantitative discipline
• Experience supporting NIH or other federal biomedical research organizations
• Experience applying large language models (LLMs) to scientific analysis, information extraction, summarization, or question answering
• Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search
• Experience evaluating AI systems using benchmark-driven and human-in-the-loop methodologies
• Experience analyzing publications, grants, patents, clinical trials or other large-scale scientific datasets
• Familiarity with MLOps practices such as model versioning, monitoring, and lifecycle management in production environments
• Experience building AI prototypes or pilot applications in shared or enterprise environments
• Knowledge of data governance, security, and compliance considerations, particularly in regulated or federal environments
• Exposure to modern data platforms and distributed processing frameworks (e.g., Spark, Databricks)
• Strong communication skills with the ability to explain AI concepts and analytical findings to non-technical stakeholders
• Experience working in cross-functional or product-oriented teams to translate requirements into technical solutions

Desired characteristics:

• Strong scientific reasoning and critical thinking
• Ability to interpret complex scientific literature
• Curiosity for emerging AI technologies and biomedical research
• Commitment to reproducible, transparent, and high-quality analytical methods

Responsibilities include ensuring compliance with organizational security and privacy policies, protecting sensitive data and systems, reporting security incidents, and participating in required cybersecurity training. The role may also involve implementing best practices related to access control, data handling, and risk mitigation within the scope of assigned duties.

All candidates will be required to undergo a background check and must be authorized to work in the United States.

Salary and benefits: We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.

Location: Bethesda, MD - Hybrid (with remote work options as approved by the COR).

Equal Employment Opportunity Policy: Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.