Senior AI Solutions Engineer, Business Transformation

SK Life Science • Paramus, NJ

3d • Onsite

About The Position

The Senior AI Solutions Engineer brings a track record of building and operating AI services directly, and uses that hands-on foundation to lead AI transformation across Business, Commercial, Supply Chain Management, and Staff functions. The role is part enabler and part builder: it raises what non-technical colleagues can do on their own, and personally leads the projects that go beyond their reach.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Minimum of 10 years in software engineering, AI service development, or technology consulting.
• At least 3 years building generative AI and LLM-based services.
• At least 2 years leading projects as the accountable owner.
• Demonstrated ability to lead a portfolio of concurrent projects—intake, prioritization, scoping, scheduling, stakeholder alignment, risk escalation, and outcome reporting.
• Practical command of the range of AI adoption paths available to non-developers—conversational AI tools, customized assistants, and no-code and low-code development—with the judgment to match each business need to the right approach.
• Ability to review solutions built by non-engineers, assess production readiness, and raise them to an operable standard.
• Ability to define the technical stack and architecture for a project and drive it through to delivery, working with others where needed.
• Strong proficiency in Python, with the ability to design, implement, and debug independently.
• SQL proficiency sufficient for data querying and transformation.
• Hands-on work with prompt engineering, retrieval-augmented generation (RAG), agentic AI systems, and multi-agent orchestration frameworks.
• Experience deploying an AI service used regularly by real users to a cloud (AWS or Azure) or on-premises environment and operating it in production, not limited to PoC or prototype stages.
• Ability to build quickly with AI coding tools and to validate and refactor the generated code into production-ready form, with full responsibility for understanding, validating, and maintaining every piece of delivered code.
• Working command of core software engineering practices: version control, containerization, CI/CD, and automated testing.
• Technical communication and enablement skills.
• Comfort communicating in every direction—with business functions, IT, and leadership.
• Ability to quickly learn complex, multi-domain business environments—Commercial, SCM, and Staff functions such as Legal, HR, and Finance—and to work alongside those teams to connect their needs to practical technical solutions.
• Comfort operating as the primary on-site technical presence for AI transformation work at this site.
• Cross-border collaboration: Willingness to coordinate with Korea-based team members as projects require, including occasional meetings scheduled across time zones.
• Strong strategic thinking and problem-solving.
• A practical, resourceful working style and the agility to thrive in a fast-paced, startup-like environment.
• Professional-level English communication skills are required, including the ability to lead meetings and negotiate with business stakeholders.
• Applicants must be legally authorized to work in the United States.
• Visa sponsorship is not available for this position.

Nice To Haves

• Experience designing and running AI literacy or technical training programs for non-engineering audiences, and measuring their adoption outcomes.
• Experience bringing solutions built by business users with AI or no-code tools into production.
• Consulting, systems integration, or agency background with exposure to many organizations and customer environments.
• Experience embedding observability (logging, metrics, alerting) into production services and using those signals to improve system architecture.
• Experience building and deploying services under enterprise constraints such as firewalls, proxies, and corporate authentication systems; familiarity with SSO, EAI, and API Gateway, and with IT infrastructure fundamentals (APIs, authentication, networking, and security).
• Snowflake access control and data governance design; pipeline scheduling, dependency, and failure-handling design (Snowflake Tasks, dbt, Airflow, and similar); familiarity with MLOps concepts.
• Experience reviewing and managing deliverables from external vendors or outsourced partners.
• Projects launched and operated across multiple business domains, described with technical stack, scope of ownership, and operational outcomes.
• Regulated industry experience — biopharma, healthcare, or similar.

Responsibilities

• Guide individual and department AI application levels, from everyday conversational AI tools to customized assistants and no-code/low-code development.
• Judge what colleagues can build themselves, what enablement is needed, and what warrants an engineering project.
• Review solutions built by non-engineers and determine production readiness.
• Serve as project leader for a subset of the portfolio, defining the technical stack and architecture.
• Drive delivery hands-on for advanced builds such as LLM-based applications, RAG pipelines, agentic AI systems, and multi-agent workflows.
• Communicate in every direction with local functions, IT, and leadership.
• Explain technical judgments in language non-engineers understand.
• Guide colleagues toward improving their own work.
• Constructively say no to approaches while offering viable alternatives.
• Quickly learn complex, multi-domain business environments and connect needs to practical technical solutions.
• Operate as the primary on-site technical presence for AI transformation work.
• Coordinate with Korea-based team members as projects require, including occasional meetings across time zones.
• Build quickly with AI coding tools and validate/refactor generated code into production-ready form.
• Deploy an AI service used regularly by real users to a cloud (AWS or Azure) or on-premises environment and operate it in production.
• Manage deliverables from external vendors or outsourced partners.
• Mentor junior engineers or lead technical workstreams.

Benefits

• 401(k) plan with company match
• Medical coverage
• Dental coverage
• Vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Senior