AI Solutions Engineer

Sinclair Broadcast Group • Hunt Valley, MD

7d • $140,000 - $175,000

About The Position

The AI Solutions Engineer partners with business teams to turn operational challenges into practical AI-enabled solutions. The role combines business curiosity, consultative problem-solving, and hands-on AI capability to design, build, test, and improve AI agents and workflows. The engineer helps identify valuable AI opportunities, translates business needs into solution designs, and develops prototypes and production-ready solutions alongside business stakeholders and technical partners.

The position works with business units to understand their goals, processes, pain points, and opportunities; collaborates with the AI team and partners across data, technology, security, legal, and risk; and builds AI agents, copilots, automations, and workflow integrations. It defines success measures, evaluates and improves solutions, monitors production performance, and supports adoption through communication, training, documentation, office hours, and hands-on assistance.

Success means contributing trusted business insight to the AI team and helping focus investment on high-value opportunities. Within the first year, the role is expected to deliver several solutions that improve productivity, quality, speed, or customer and employee experience, producing responsible and measurable results.

The role is with Sinclair, a diversified media company and provider of local news and sports. The position is not eligible for visa sponsorship, including H-1B sponsorship 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 or more years of experience solving business problems through process improvement, consulting, business analysis, operations, or a similar role, with the 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, and experience in workflow automation, systems integration, or service design.
• Experience evaluating AI systems using test cases, quality measurement, prompt iteration, or monitoring, and applying responsible AI practices involving 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 into 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 tools 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 basic proficiency.
• Prior experience on an internal AI enablement, digital transformation, or innovation team.

Responsibilities

• Partner with business units to understand goals, processes, pain points, and improvement opportunities.
• Participate in discovery sessions and translate ambiguous business problems into well-defined AI solution requirements.
• Collaborate with the AI team to shape solution designs, assess feasibility and user needs, and prioritize opportunities 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 to 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 to demonstrate value and help evolve successful concepts into durable solutions.
• Define success metrics and evaluation approaches before development.
• Test solutions for accuracy, usefulness, safety, consistency, and user experience, and improve them using feedback and performance data.
• Monitor production solutions for adoption and accuracy drift; retire or rework solutions that no longer meet their success criteria.
• Explain AI capabilities, limitations, tradeoffs, and recommended practices in clear, non-technical language.
• Support 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 bring relevant ideas to 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