Senior Solutions Engineer

Pinnacle Talent Placement; United States; A distancia; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Pinnacle Talent Placement seeks a Senior AI Solutions Engineer /Sr AI ML Specialist to build and scale intelligent healthcare systems. You will design, build, and deploy ML and LLM-based solutions, taking models from experimentation to production for assigned client groups.

Remote work with occasional travel to Atlanta, GA is expected. You will work with product, data, engineering, and business teams to translate problems into scalable AI/ML solutions, applying modern tools to improve outcomes

Formación

• BA/BS degree in Information Technology or Computer Science or related field.
• Minimum 5+ years related experience; multi-dimensional platform experience.
• Minimum 3+ years hands-on AI/ML experience.
• Experience with business and technical applications, or equivalent background.

Responsabilidades

• Translate business problems into scalable AI/ML solutions with product and data teams.
• Design, build and deploy end-to-end ML/LLM-based systems and pipelines.
• Lead design reviews, mentor junior engineers, and drive technical direction.
• Monitor AI/ML models in production and ensure reliability and performance.

Conocimientos

Advanced Python

ML lifecycle

LLM/Tuning

Vector search

APIs & pipelines

Responsible AI

Cloud platforms

Healthcare domain

OpenSearch

Educación

BA/BS in IT/CS

Masters/PhD preferred

Herramientas

AWS Bedrock

Descripción del empleo

Senior AI Solutions Engineer /Sr AI ML Specialist

Status: Must be legally eligible to work where you live.

Resume must be in English

Location: Remote, some travel to Atlanta, GA

The Senior AI Solutions Engineer /Sr AI ML Specialist (will build and scale intelligent systems that improve healthcare outcomes. You will design, build, and deploy machine learning and LLM-based systems, taking models from experimentation to production within assigned client group, business unit or corporate department and utilizing various customer technology platforms.

How You Will Make an Impact:

• Maintains active relationships with product, data, engineering, architecture, and business teams to translate business problems into scalable AI/ML solutions.
• Applies AI/ML capabilities and modern AI tools to solve meaningful business problems, improve healthcare outcomes, and enable practical adoption across business workflows, digital products, and enterprise applications.
• Owns the change request process and may coordinate with other teams as necessary.
• Provides technical advice and weighs in on technical decisions that impact cross-functional teams, including AI/ML and advanced analytics solutions.
• Researches and may propose new technologies, keeping abreast of developments in AI and applying them to enterprise use cases where relevant.
• Designs, builds, and deploys end-to-end ML and LLM-based systems (data pipelines, models, prompts, APIs, and monitoring).
• Develops, evaluates, deploys, and monitors machine learning models for predictive, classification, optimization, personalization, and decision-support use cases.
• Builds applied AI solutions such as semantic search, RAG pipelines, and embedding-based systems.
• Develops production-ready AI/ML services, APIs, pipelines, and reusable components; improves performance, scalability, reliability, usability, and operational readiness in production.
• Performs technical design reviews and code reviews; provides technical leadership through solution design, best practices, troubleshooting, and mentoring junior team members.
• Assesses status and supports data information planning.
• Coordinates on-call support and ensures effective monitoring of systems, including AI/ML model performance and reliability.
• Mentors others and may lead multiple or small to medium-sized projects; influences engineering standards and technical direction.
• Identifies and proposes strategies around technical problems affecting the team, communicates standards, and gains buy-in on solutions.
• Requires an BA/BS degree in Information Technology, Computer Science or related field of study
• Minimum of 5+ years related experience; multi-dimensional platform experience; Minimum
• 3+ years of hands-on AI/ML experience
• Experience with business and technical applications
• Or a combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and Experiences:

• Masters or PhD preferred.
• Advanced Python skills for machine learning and data processing preferred.
• Experience across the full ML lifecycle (development → deployment → monitoring) preferred.
• Hands-on experience with fine tuning SLMs, LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch preferred.
• Experience building production AI systems (APIs, pipelines, microservices) preferred.
• Familiarity with responsible AI principles (fairness, explainability, privacy) preferred.
• Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or equivalent AI model cloud providers) preferred.
• Healthcare domain experience, including familiarity with data privacy and regulatory requirements preferred.