Senior Agentic AI Engineer (BI Developer & Healthcare must)
Quick facts
- Type
- Full-time
- Location
- Reston, VA
- Background
- MD / physician
- Experience
- 3+ years
- Skills
- Python, Java, SQL, Docker, Kubernetes, AWS
- Industry
- Information Technology — 654 open jobs
- Visa in listing
- H-1B
- Apply
- Free to apply — never pay anyone for a job offer or visa sponsorship
Job description
- Client looking for VA, MD, DC States only.
- looking for 10+ Years genuine experience needed.
- On C2C through employers we are accepting only H1B.
Please share resume to jay@kmmtechnologies.com
Position: Agentic AI Engineer (Healthcare)
Location: Reston, VA - Hybrid - (Every Wednesday Office)
Duration: 9+ Months
MUST HAVE: Agentic AI, Business Intelligence Reporting, Python, Pandas, LLM, ML, DL, RL, NLP, AI agent frameworks (LangGraph, LangChain, TensorFlow, or PyTorch), AWS SageMaker, Aurora PostgreSQL, Healthcare Claims Background.
- Client is looking for a hybrid professional who combines deep AI/ML engineering expertise with proven experience in business intelligence and reporting.
- Strong Python expertise is mandatory, including libraries like Pandas and NumPy, as it is the primary language for building AI agents, developing data pipelines, and integrating with AWS services.
- An ideal candidate is someone who builds and deploys AI agents (using LLMs, NLP, and frameworks like LangChain) on AWS SageMaker to automate complex, labor-intensive workflows.
- At the same time, this person must design executive dashboards and KPIs using Power BI or Tableau to track business outcomes and measure the performance of AI solutions.
- The role requires integrating data from multiple sources via APIs and SQL, while also ensuring security, ethical AI practices, and reliable deployment through CI/CD and containerization.
NOTES
Business Intelligence Reporting and Visualization (PowerBI, Tableau Reporting) from Product Analytics point
This version positions the role as a hybrid AI Engineer + Business Intelligence Developer, to build AI solutions while also delivering executive reporting, KPI dashboards, and measurable business outcomes.
Required Skills
AI & Software Engineering
- 3+ years of experience building production-level AI or ML systems, including LLMs, AI agents, or complex automation frameworks.[KN1.1]
- 3+ years of experience with Python and Python libraries such as Pandas, NumPy, and related data processing tools.
- Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL).[KN2.1]
- Strong understanding and hands-on experience with Natural Language Processing (NLP).
- Experience with AI agent frameworks and tools such as LangGraph, LangChain, TensorFlow, or PyTorch.
- Experience optimizing workflows through intelligent automation and AI-driven solutions.
- Experience integrating AI agents with APIs, cloud platforms, enterprise applications, and databases.[KN3.1]
- Experience building and deploying AI pipelines on AWS SageMaker with Aurora PostgreSQL for data ingestion, analytics, and operational reporting.
- Experience performing automated testing, troubleshooting, and application maintenance.
- Experience with Software Development Lifecycle (SDLC) methodologies, including DevSecOps practices.
- Experience with cloud platform - Amazon Web Services (AWS).[KN4.1]
- Experience developing RESTful services using Java and Spring Boot.
- Experience managing CI/CD pipelines and containerized deployments using Kubernetes, Docker, Jenkins, or similar technologies.
- Preferred experience using GitHub and collaborative development platforms.
Business Intelligence & Analytics
- 3+ years of experience designing and developing business intelligence solutions and enterprise reporting platforms.
- Experience creating interactive dashboards and reports using tools such as Power BI, Tableau, or similar BI platforms.[KN5.1]
- Hands-on expertise with SQL, data querying, and relational database concepts.
- Experience developing data models, semantic layers, KPIs, scorecards, and performance metrics for business stakeholders.
- Experience integrating and transforming data from multiple enterprise systems and APIs for reporting and analytics purposes.
- Knowledge of data warehousing, ETL/ELT processes, data governance, and data quality management.
- Ability to analyze business requirements and translate them into meaningful visualizations and actionable insights.
- Experience building operational, executive, and analytical reports that support strategic decision-making.
- Understanding of data visualization best practices, reporting standards, and storytelling with data.
- Experience measuring and reporting AI solution performance, adoption metrics, operational efficiencies, and business outcomes.
- Strong communication skills with the ability to present technical and analytical findings to both business and executive audiences.
Preferred Qualifications
- Experience combining AI/ML capabilities with BI platforms to deliver intelligent reporting and decision-support solutions.
- Experience with Azure Data Factory, Databricks, Snowflake, Redshift, Synapse, or similar modern data platforms.
- Familiarity with MLOps, DataOps, and analytics engineering practices.
- Experience implementing AI-powered insights, predictive analytics, recommendation systems, or conversational analytics solutions.
This version positions the role as a hybrid AI Engineer + Business Intelligence Developer, to build AI solutions while also delivering executive reporting, KPI dashboards, and measurable business outcomes.
Visa sponsorship record: Kmm Technologies, Inc
Sponsors actively| Fiscal year | H-1B LCAs | USCIS approvals | USCIS denials | PERM |
|---|---|---|---|---|
| FY2026 | 4 | 6 | 0 | — |
| FY2025 | 11 | 7 | 0 | — |
| FY2024 | 7 | 8 | 0 | — |
✔ Kmm Technologies, Inc filed 16 H-1B applications for this kind of role (Software Developers) in the period above.
Roles they sponsor most
- software engineer5 LCAs · median $147k
- software web applications developer3 LCAs · median $94k
- ai engineer2 LCAs · median $127k
- java aws applications developer2 LCAs · median $187k
- architect1 LCA · median $152k
Which visas can work for this job
Occupation: Software Developers (SOC 15-1252) — estimated from the job title.
- Mentioned in the listing
H-1B
- H-1B cap-exempt employer
Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).
- TN (citizens of Canada and Mexico)
This kind of role may fit the USMCA profession “Computer Systems Analyst (or Engineer, for engineering-degree holders)” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.
- E-3 (Australia) and H-1B1 (Chile, Singapore)
Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.
- O-1 (extraordinary ability)
For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.
- STEM OPT extension (F-1 students)
Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.
Salary vs prevailing wage
Software Developers · Washington-Arlington-Alexandria, DC-VA-MD-WV. Annual prevailing wages set by the Department of Labor (OFLC).
| Level | Prevailing wage | H-1B lottery odds* |
|---|---|---|
| Level I | $102,086 | ~15% |
| Level II | $127,462 | ~31% |
| Level III | $152,838 | ~46% |
| Level IV | $178,214 | ~61% |
The listing has no salary, so we can't place it on a wage level. Ask the employer which wage level they'd file at: Level III–IV registrations get 3–4 entries in the H-1B lottery.
* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.
Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.