The posting
Job Description
The AI Solutions Engineer is a key role within the AI team that partners with business teams to turn real operational challenges into practical AI-enabled solutions. This person combines strong business curiosity, consultative problem-solving, and hands-on AI capability in designing, building, testing, and improving sophisticated AI agents and workflows.
They will help teams identify where AI can create meaningful value, translate needs into clear solution designs, and build usable prototypes and production-ready solutions in collaboration with business stakeholders and technical partners.
Key Responsibilities
Partner with the business
- Partner with business units to understand their goals, processes, pain points, and opportunities for improvement.
- Participate in discovery sessions that translate ambiguous business problems into well-defined AI solution requirements.
- Collaborate with the broader AI team to shape solution designs, provide practical feedback on feasibility and user needs, and 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.
Build and integrate
- 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, then help evolve successful concepts into durable solutions.
Test and improve
- Define success metrics and evaluation approaches before build, so each solution has a clear bar for what good looks like.
- Test AI solutions for accuracy, usefulness, safety, consistency, and user experience; continuously improve them based on feedback and performance data.
- Monitor solutions in production for adoption and accuracy drift; retire or rework anything that no longer meets its success bar.
Enable and share
- 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; bring relevant ideas back to the organization.
Required Qualifications
- 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 experience solving business problems through process improvement, consulting, business analysis, operations, or a similar role, with demonstrated ability to work with non-technical stakeholders and build trust across business functions
- 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.
- Experience solving business problems through process improvement, consulting, business analysis, operations, or a similar role, with 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 (test cases, quality measurement, prompt iteration, monitoring) and applying responsible AI practices (privacy, security, model risk, 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.
Preferred Qualifications
- 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.
What Success Looks Like
The AI Solutions Engineer is a constructive, trusted contributor to the broader AI team, bringing business-unit insight into solution design and helping the organization focus its AI investment on the highest-value opportunities. Within the first year, the AI Solutions Engineer will have delivered several solutions that improve productivity, quality, speed, or customer and employee experience. They will be known as a practical business partner who can turn AI potential into responsible, measurable results.
Core Competencies
- Business problem framing
- Consultative stakeholder partnership
- AI agent and workflow design
- Rapid prototyping and iterative delivery
- Clear communication and enablement
- Responsible AI judgment
- Analytical thinking and prioritization
- Curiosity, adaptability, and ownership
The base salary compensation range for this role is $140,000 to $175,000. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include 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, and employee stock purchase plan.
EEO AND INCLUSIVITY:
Sinclair is proud to be an equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About Sinclair:
Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 177 television stations in 79 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; and multicast networks CHARGE, Comet, ROAR and The Nest. Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at www.sbgi.net.
About the Team:
The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let’s talk.
Please note that this position is not eligible for visa sponsorship, including employer sponsorship for an H-1B visa, OPT-STEM employment, etc.
