AI Solutions Engineer

Sinclair Broadcast Group • Hunt Valley, MD

12d

About The Position

The AI Solutions Engineer partners with business teams to turn operational challenges into practical AI-enabled solutions. The role combines business-focused problem solving with hands-on work designing, building, testing, and improving AI agents and workflows. The engineer helps identify opportunities for AI, translates business needs into solution designs, and develops prototypes and production-ready solutions alongside business stakeholders and technical partners.

The role contributes business insight to the broader AI team’s solution designs and opportunity prioritization. It works with data, technology, security, legal, and risk partners to ensure solutions are reliable, responsible, and appropriate to their business context. The engineer also supports adoption through clear communication, training, documentation, office hours, and hands-on assistance.

Success includes delivering several solutions within the first year that improve productivity, quality, speed, or customer and employee experience, and being recognized as a practical business partner who turns AI potential into responsible, measurable results.

The base salary range is $140,000 to $175,000. Final compensation depends on relevant work experience, skills, certifications, and geographic location. The position is not eligible for visa sponsorship, including employer sponsorship for H-1B or OPT-STEM employment.

Requirements

• At least 3 years of hands-on experience building AI agents, copilots, or automations using generative AI platforms, APIs, low-code tools, or development frameworks, including work with structured and unstructured data, knowledge bases, and retrieval-augmented generation.
• 5–7+ years of experience solving business problems through process improvement, consulting, business analysis, operations, or a similar role, including demonstrated ability to work with non-technical stakeholders and build trust across business functions.
• Basic programming or scripting capability, such as Python, JavaScript, SQL, or API integration, with experience in workflow automation, systems integration, or service design.
• Experience evaluating AI systems through test cases, quality measurement, prompt iteration, or monitoring, and applying responsible AI practices related to privacy, security, model risk, or change management.
• Strong written and verbal communication skills, including the ability to make technical topics understandable and actionable.
• Sound judgment about when AI is appropriate versus a simpler solution, and comfort experimenting, learning quickly, and moving concepts to usable solutions.

Nice To Haves

• Ability to translate business requirements into solution designs, user journeys, and measurable success criteria.
• Product management experience, including working with product roadmaps and stakeholder prioritization.
• Media or broadcast industry experience, including familiarity with newsroom, sales, or traffic operations, or systems such as WideOrbit or OSI.
• Experience with modern agent frameworks and evaluation tooling, such as LangChain, LlamaIndex, OpenAI Agents SDK, Model Context Protocol, LangSmith, or Braintrust.
• Data analysis and enterprise data platform experience, such as Snowflake, Power BI, or dbt, and SQL beyond basics.
• Prior experience on an internal AI enablement, digital transformation, or innovation team.

Responsibilities

• Partner with business units to understand their goals, processes, pain points, and opportunities for improvement.
• Participate in discovery sessions and translate ambiguous business problems into well-defined AI solution requirements.
• Collaborate with the AI team to shape solution designs and provide practical feedback on feasibility and user needs.
• Help prioritize the AI opportunity pipeline based on business value, complexity, risk, and strategic alignment.
• Work with data, technology, security, legal, and risk partners to ensure solutions are reliable, responsible, and appropriate for the business context.
• Design, build, and iterate AI agents, copilots, automations, and workflow integrations using modern AI platforms and tools.
• Develop agent instructions, tools, knowledge sources, guardrails, and human-review workflows.
• Create prototypes that demonstrate value quickly and help evolve successful concepts into durable solutions.
• Define success metrics and evaluation approaches before building solutions.
• Test AI solutions for accuracy, usefulness, safety, consistency, and user experience, and improve them based on feedback and performance data.
• Monitor production solutions for adoption and accuracy drift; retire or rework solutions that no longer meet their success bar.
• Explain AI capabilities, limitations, tradeoffs, and recommended practices in clear, non-technical language.
• Build adoption through training, documentation, office hours, and hands-on support for business users.
• Stay current on AI tools, agent patterns, governance practices, and emerging opportunities, and share relevant ideas with the organization.

Benefits

• Participation in a retirement plan
• Life and disability insurance
• Health, dental, and vision plans
• Flexible spending accounts
• 15 paid vacation days
• 2 paid personal days
• 9 paid holidays
• 40 hours of paid sick leave
• Parental leave
• Employee stock purchase plan
• Open-door policy
• Upward mobility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed