AI Engineer II Onsite, Springfield, MO
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Job Location:
Springfield, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
POSITION SUMMARY:
We are seeking an AI Engineer II to join our Information Technology team at our corporate office in Springfield MO.
The AI Engineer II focuses on building and operationalizing AI solutions that align with the enterprise AI roadmap enabling real-world applications of data intelligence and generative AI technologies.
This position bridges business needs data infrastructure and applied AI development to deliver scalable secure and production-ready systems that integrate seamlessly with enterprise platforms and data ecosystems.
This position requires working onsite in our Springfield MO headquarters.
ESSENTIAL FUNCTIONS:
- Collaborate with stakeholders to identify AI-driven automation and insight opportunities and define success metrics/acceptance criteria.
- Translate business needs into technical requirements and design end-to-end AI workflows including data sourcing orchestration and integration points.
- Ensure data readiness by assessing availability and quality across enterprise and third-party sources; partner with Data Engineering to design and validate pipelines that produce high-quality AI-ready datasets with data contracts lineage and schema-drift detection.
- Perform data preparation and transformation in SQL or Python when needed for AI workflows.
- Conduct data quality assessments establish validation rules maintain data lineage and data contracts and implement schema-drift detection with automated gates; coordinate with Data Engineers to resolve integrity or availability issues.
- Design develop and deploy LLM-based RAG and generative AI solutions using modern ML/LLM frameworks and cloud AI services.
- Contribute to and implement PromptOps: maintain a versioned library of prompt/assistant patterns (system few-shot tool use); help teams build and optimize assistants; ensure domain alignment structured outputs guardrails and prompt-injection resilience; define change control and rollback; run A/B evaluations for groundedness accuracy and safety with release gates; optimize for cost and latency.
- Build and operate agents and semi-autonomous workflows using established orchestration patterns with auditable actions step limits feature flags/kill switches and human-in-the-loop approvals for high-impact actions.
- Implement model lifecycle management with experiment tracking model registry retraining dataset/feature and embedding/vector-index versioning and rollback; continuously monitor performance/reliability.
- Integrate AI solutions via APIs and event-driven architectures using versioned backward-compatible contracts with semantic versioning and a clear deprecation policy; include capacity planning and autoscaling for inference; conduct load and cost tests ahead of peak retail seasons.
- Apply MLOps and LLMOps best practices for scalable observable and secure deployments (containerization orchestration CI/CD and model lifecycle management).
- Implement automated testing (unit integration contract) for AI pipelines and services.
- Partner with Data Scientists to evaluate integrate and productionize models transitioning prototypes into scalable production-ready systems.
- Ensure responsible AI governance: RBAC/IAM secrets management PII minimization/redaction applicable payment-card and consumer-privacy regulations data residency/retention audit logging bias detection explainability and compliance with governance and privacy standards.
- Research and evaluate emerging AI technologies such as agentic AI multimodal models and vector databases to enhance enterprise capabilities.
- Contribute to AI standards documentation and best practices to ensure long-term scalability and maintainability.
- Implement observability (tracing runtime telemetry token/cost monitoring alerting dashboards) define and meet SLOs/SLAs and cost budgets enable safe rollback with runbooks; participate in an on-call rotation as needed.
- ALL OTHER DUTIES AS ASSIGNED
EXPERIENCE/QUALIFICATIONS:
- Minimum Degree Required: Bachelors Degree in Computer Science Artificial Intelligence Data Science or related field (or equivalent experience).
- 35 years of hands-on experience in AI engineering ML application development or applied data engineering for AI workflows.
- Proficiency in Python and relevant AI/ML frameworks.
- Experience deploying LLM/RAG systems with enterprise data including offline/online evaluation and guardrail/structured-output validation.
- Familiarity with vector databases and semantic retrieval systems.
- Solid understanding of SQL data modeling and data preparation for AI consumption.
- Experience with major cloud platforms (AWS Azure GCP); familiarity with enterprise data platforms/warehouses (Snowflake).
- Knowledge of API development and integration and experience with containerization orchestration and CI/CD pipelines.
- Understanding of AI governance security and responsible AI practices.
KNOWLEDGE SKILLS AND ABILITY:
- Strong analytical and problem-solving skills with end-to-end ownership mindset.
- Ability to translate complex AI concepts into clear actionable business outcomes.
- Excellent communication and collaboration skills across technical and business teams.
- Proficiency with Git-based version control and collaborative development workflows.
- Familiarity with Agile methodologies and iterative delivery models.
- Understanding of AI feasibility ROI and value realization within enterprise environments.
- Commitment to responsible and ethical AI development aligned with company standards.
TRAVEL REQUIREMENTS:
- N/A
PHYSICAL REQUIREMENTS:
Regularly sits and does computer work.
Occasionally stands and walks.
Seldom/never lifts up to 50 lbs.
INDEPENDENT JUDGEMENT:
Performs duties within scope of general company policies procedures and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies procedures and practices.
Full Time Benefits Summary:
Enjoy discounts on retail merchandise our restaurants world-class resorts and conservation attractions!
- Medical
- Dental
- Vision
- Health Savings Account
- Flexible Spending Account
- Voluntary benefits
- 401k Retirement Savings
- Paid holidays
- Paid vacation
- Paid sick time
- Bass Pro Cares Fund
- And more!
Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race color creed religion sex pregnancy sexual orientation gender identity age national origin ancestry citizenship status disability veteran status genetic information or any other basis protected by applicable federal state or local law.
Reasonable Accommodations
Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
If you need a reasonable accommodation for any part of the application process please visit your nearest location or contact us at
Required Experience:
IC
Key Skills
About Company
Bass Pro Shops is your trusted source for quality fishing, hunting, boating and outdoor sporting goods. Inspiring people to enjoy & protect the great outdoors.
