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Senior Citizen Jobs in Spring, TX (NOW HIRING)

Senior AI Agentic Engineer

Spring, TX ยท On-site

$93K - $127K/yr

US Citizen, GC Holders or Authorized to Work in the U.S. Senior AI Agentic Engineer The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent agent systems that automate complex ...

The Senior Project Manager shall lead by example and personify the Company's Mission, Vision, and ... US Citizen with valid Drivers License * Able to pass a background check to obtain badging at ...

The Senior Project Manager shall lead by example and personify the Company's Mission, Vision, and ... US Citizen with valid Drivers License * Able to pass a background check to obtain badging at ...

The Senior Project Manager shall lead by example and personify the Company's Mission, Vision, and ... US Citizen with valid Drivers License * Able to pass a background check to obtain badging at ...

Senior Accountant

Houston, TX ยท On-site

$70K - $88K/yr

The Senior Accountant will play a key role within the Finance team, supporting the accuracy and ... Eligibility To be eligible to work at ALS you must be a Citizen or Permanent Resident of the ...

Senior Accountant

Houston, TX ยท On-site

$70K - $88K/yr

The Senior Accountant will play a key role within the Finance team, supporting the accuracy and ... Eligibility To be eligible to work at ALS you must be a Citizen or Permanent Resident of the ...

Senior Energy Engineer

Houston, TX ยท On-site +1

$140K - $150K/yr

About the Position The Senior Energy Engineer will lead the development, design, and implementation ... Citizen and able to successfully pass an FBI background investigation due to federal contract ...

Senior Energy Engineer

Houston, TX ยท On-site +1

$140K - $150K/yr

About the Position The Senior Energy Engineer will lead the development, design, and implementation ... Citizen and able to successfully pass an FBI background investigation due to federal contract ...

Senior Energy Engineer

Houston, TX ยท On-site

$140K - $150K/yr

About the Position The Senior Energy Engineer will lead the development, design, and implementation ... Citizen and able to successfully pass an FBI background investigation due to federal contract ...

Senior Energy Engineer

Houston, TX ยท On-site

$140K - $150K/yr

About the Position The Senior Energy Engineer will lead the development, design, and implementation ... Citizen and able to successfully pass an FBI background investigation due to federal contract ...

Senior GNC Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Senior GNC Engineer Join us as a Senior GNC Engineer and help design, build and flight test ... S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C ...

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Showing results 21-40

Senior Citizen information

See Spring, TX salary details

$22.2K

$71.4K

$145.5K

How much do senior citizen jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior citizen in Spring, TX is $71,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $91,700.00 per year, depending on experience, location, and employer.

What is a senior citizen?

Senior citizens are individuals who have reached a certain age, typically 60 or 65 years and older, depending on the country. This age group is often eligible for specific benefits such as retirement pensions, healthcare programs, and discounts on transportation or services. Senior citizens may also access community resources and support aimed at enhancing their well-being and quality of life. Their contributions to society are valued, and many remain active through volunteering, part-time work, or pursuing personal interests.

How does a Senior Care Coordinator typically collaborate with healthcare professionals and families to support senior citizens?

A Senior Care Coordinator regularly communicates with doctors, nurses, social workers, and family members to develop and implement personalized care plans for senior citizens. They facilitate meetings, share updates on patient progress, and ensure that all parties are aligned on care goals. This collaborative approach helps address any changing needs quickly and ensures the senior receives holistic, well-coordinated support. Strong interpersonal and organizational skills are essential for success in this role.

What is the difference between Senior Citizen vs Home Health Aide?

AspectSenior CitizenHome Health Aide
Required CredentialsNone or minimal; often includes age verificationCertification or training required, such as HHA or CNA
Work EnvironmentCommunity, assisted living, or private homesPrivate homes, healthcare facilities, or assisted living
Employer & IndustryGovernment, senior centers, community programsHealthcare providers, home care agencies
Search & Comparison IntentUnderstanding aging or senior servicesCaregiving, healthcare support roles

Senior Citizens are individuals typically aged 60 or 65 and above, often seeking community or government services. Home Health Aides are trained professionals providing in-home healthcare support. While both serve the elderly, Home Health Aides require certifications and offer direct medical or personal care, whereas Senior Citizens are the recipients of such services.

What are the key skills and qualifications needed to thrive as a senior citizen, and why are they important?

I'm sorry, but 'Senior Citizen' is not a professional job title and does not correspond to an employment role with specific skills and qualifications.
What are popular job titles related to Senior Citizen jobs in Spring, TX? For Senior Citizen jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Citizen jobs in Spring, TX look for? The top searched job categories for Senior Citizen jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Citizen jobs? Cities near Spring, TX with the most Senior Citizen job openings:
Infographic showing various Senior Citizen job openings in Spring, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $71,447 per year, or $34.3 per hour.

Senior AI Agentic Engineer

INSPYR Solutions

Spring, TX โ€ข On-site

$93K - $127K/yr

Full-time

Re-posted 5 days ago


Job description

Title: Senior AI Agentic Engineer
Location: Spring, TX 77389 (hybrid: 3 days onsite / 2 days remote)
Duration: Direct Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Senior AI Agentic Engineer
The Senior AI Agentic Engineer designs, builds, and operationalizes intelligent agent systems that automate complex enterprise business processes end-to-end. This role works at the intersection of LLMs, systems engineering, and applied machine learning - architecting multi-agent pipelines, tool-augmented reasoning systems, and retrieval-augmented generation (RAG) workflows across a range of enterprise platforms (e.g., Databricks AgentBricks, Azure OpenAI) and open-source frameworks (e.g., LangChain, LangGraph, AutoGen) - with the expectation that the right candidate brings familiarity with the broader and rapidly evolving ecosystem. The ideal candidate brings deep hands-on engineering experience with a proven track record of delivering agentic AI systems into production at enterprise scale - not just prototypes - applying rigorous software engineering principles including modular system design, testability, resilience engineering, and security-by-design to ensure agents are maintainable, reliable, and safe in the long run. This means architecting for failure - building in retries, fallbacks, and graceful degradation - and treating latency and cost as first-class engineering constraints from day one, not afterthoughts discovered in production. Beyond technical delivery, the Senior AI Agentic Engineer mentors engineers across the team, shapes the organization's AI automation strategy, translates ambiguous business problems into well-structured agentic solutions, and drives the responsible and secure deployment of AI agents across business-critical functions.
Job Duties/Roles
Agentic AI System Design & Development
  • Design, build, and deploy end-to-end agentic AI systems using LLMs, tools, memory, and planning frameworks to automate complex, multi-step enterprise business processes.
  • Architect and implement both single-agent and multi-agent workflows for autonomous task execution, decision support, and orchestration - defining agent roles, memory strategies, tool integrations, and handoff protocols.
  • Develop tool-using agents with function calling, structured outputs, API integrations, database connectors, RPA hooks, and enterprise workflow triggers.
  • Lead the integration of agentic solutions with enterprise systems including ERP, Business apps and orchestration platforms such as Databricks, Airflow, and Azure Data Factory.

Retrieval-Augmented Generation (RAG)
  • Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for enterprise knowledge bases.
  • Implement advanced retrieval techniques such as hybrid search, metadata filtering, re-ranking, and query rewriting to improve grounding and reduce hallucination.
  • Evaluate and continuously tune RAG systems for accuracy, latency, factual grounding, and cost efficiency.

Model Adaptation & Prompt Engineering
  • Evaluate and select frontier and open-source LLMs (e.g., GPT-4o, Claude, Llama, Mistral, Gemini) and apply fine-tuning strategies - including instruction tuning appropriate to each business use case.
  • Optimize prompts, system instructions, and output schemas for reliability, determinism, and safety across agentic pipelines.
  • Apply reinforcement or feedback-driven optimization where applicable, including human-in-the-loop and automated evaluation loops.

Evaluation, Monitoring & Governance
  • Define evaluation frameworks for agentic systems covering task success, factuality, grounding, latency, cost, and failure mode analysis.
  • Build observability and monitoring pipelines for agent behavior, tool call traces, and runtime failure detection.
  • Partner with governance, risk, and compliance teams to ensure responsible AI practices, audit traceability, data privacy, and regulatory adherence across all deployed agents.

Production Deployment & LLMOps
  • Deploy GenAI and agentic systems into production using cloud-native architectures on platforms such as Azure, AWS Bedrock, or Google Vertex AI with containerized (Docker/Kubernetes) delivery.
  • Implement CI/CD pipelines, prompt versioning, rollback strategies, and runtime safeguards for LLM applications in enterprise environments.
  • Optimize deployed systems for performance, cost efficiency, and scalability under real-world load.

Collaboration, Mentorship & Strategy
  • Collaborate with software engineers, product managers, data scientists, and business stakeholders to translate ambiguous process challenges into well-structured agentic solutions.
  • Mentor AI engineers and data scientists on agentic design patterns, responsible AI practices, and production-grade engineering standards.
  • Contribute to the organization's AI automation strategy, co-authoring technical roadmaps, governance policies, and center-of-excellence standards for agentic AI.
  • Stay at the forefront of the agentic AI landscape, rapidly evaluating new frameworks and research findings and communicating their business relevance to leadership.

Knowledge, Skills and Abilities Required (KSAR)
Technical - Agentic Frameworks & LLMs
  • Proven enterprise experience architecting and deploying production-grade multi-agent AI systems that automate real business workflows end-to-end - not just proofs of concept.
  • Deep hands-on expertise with agent orchestration frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, DSPy, CrewAI, and platform-native solutions such as Databricks AgentBricks / Mosaic AI Agent Framework - with openness to emerging tools in the rapidly evolving ecosystem.
  • Deep understanding of LLMs and foundation models (e.g., GPT, Claude, Llama, Mistral, Gemini) including their capabilities, limitations, and appropriate use case fit.
  • Experience with structured outputs, function/tool calling, JSON schema design, and multi-turn agent loop engineering.

Technical - RAG & Data Platforms
  • Strong knowledge of RAG architectures, vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector), embedding models, and hybrid retrieval strategies.
  • Hands-on experience with Databricks including Unity Catalog, MLflow, Delta Lake, and Databricks Workflows for end-to-end data and AI pipelines.
  • Experience with database technologies, data lakes, and enterprise data platforms including SQL, cloud storage, and streaming data sources that agents consume at runtime

Technical - Deployment, MLOps & Engineering
  • Strong Python proficiency and experience building production-grade services, APIs, and microservices that support agentic systems.
  • Experience deploying LLM and agent workloads on cloud platforms (e.g., Azure OpenAI Service, AWS Bedrock, Google Vertex AI) with containerized infrastructure (Docker, Kubernetes).
  • Experience implementing LLMOps practices including experiment tracking (e.g., MLflow, W&B), prompt versioning, evaluation harnesses, latency profiling, and CI/CD for AI systems.
  • Experience with enterprise security, data governance, and compliance requirements for AI deployments including PII handling, role-based access control, and audit logging.

Evaluation & Responsible AI
  • Familiarity with LLM evaluation techniques, failure mode analysis, red-teaming, and benchmark construction to maintain quality and trust in production agents.
  • Working knowledge of responsible AI principles including fairness, explainability, safety guardrails, and human oversight mechanisms in agentic deployments.

Leadership & Communication
  • Strong written and verbal communication skills with the ability to explain complex GenAI and agentic concepts clearly to both technical teams and executive stakeholders.
  • Demonstrated ability to lead cross-functional AI projects from discovery through production, aligning engineering, data, product, legal, and business operations teams.
  • Ability to mentor junior team members, establishing engineering standards and fostering a culture of experimentation and responsible AI development.
  • Ability to translate ambiguous, open-ended business challenges into structured agentic solution designs with clear scope and success criteria.
  • Display an entrepreneurial mindset with a bias for practical, high-impact solutions; comfortable operating in ambiguous environments and rapidly evolving technology landscapes.

Minimum years of Experience
  • 3 years' work experience as an AI Agentic Engineer and over 7 years' experience in Data Science, Gen AI, Information Systems, Computer Science, Software Engineering or other relevant field with relevant experience.

Required/Preferred Education Requirements
  • Preferred - Master's Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field.
  • Required - bachelor's degree in data science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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