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Ai Implementation Jobs in Altamonte Springs, FL (NOW HIRING)

Healthfirst (New York)

Sr AI Security Engineer

Lake Mary, FL · On-site

$100K - $137K/yr

Partner with developers and AI engineering teams to design and implement practical security controls. * Develop reusable security patterns and guardrails for common AI architectures. * Build or ...

Park Square Homes

AI Engineer

Orlando, FL · On-site

You will implement AI tools and automate workflows across our business -- then turn around and train every department on how to use them. You will run one-on-one coaching sessions with individual ...

HCLTech

Lead Solutios Architect-AI

Orlando, FL · On-site

Hands-on implementation experience with one or more automation platforms like UiPath, Workato, n8n, or power platform. Experience with AI/ML pipelines, vector databases, and embedding models ...

New

Teledyne

AI Solution Analyst

Orlando, FL · On-site

Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep ...

CIG COMPANIES SERVICES

Head of Data & AI

Orlando, FL · On-site

Define and implement the enterprise Data & AI strategy and roadmap aligned with corporate and business-unit objectives. * Establish data architecture and governance frameworks, including data quality ...

Worth AI

Solutions Engineer (Senior)

Orlando, FL · Remote

$56.50 - $73/hr

Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the ... Develop and execute detailed implementation plans, timelines, and success criteria for new client ...

S27a

AI Systems & Operations Specialist

Winter Park, FL · On-site

$90 - $104/hr

AI SYSTEMS & OPERATIONS SPECIALIST Location: Winter Park, FL (Greater Orlando area) -- onsite five ... an idea through implementation and support, and is comfortable doing the work--not just ...

Worth AI

Solutions Engineer (Senior)

Orlando, FL · On-site +1

$51.50 - $66.50/hr

Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the ... Develop and execute detailed implementation plans, timelines, and success criteria for new client ...

Worth AI

Solutions Engineer (Senior)

Orlando, FL · Remote

$51.50 - $66.50/hr

Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the ... Develop and execute detailed implementation plans, timelines, and success criteria for new client ...

HAYS

Lead Solutions Architect AI & Automation

Orlando, FL · On-site

$80 - $88.65/hr

Hands-on implementation experience with AI platforms such as Microsoft Copilot, Moveworks, Claude (Anthropic), or similar conversational AI and agentic systems. Hands-on implementation experience ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency. * Collaborate with AI ...

Magnifica Air

Head of Data & AI

Orlando, FL · On-site

Responsibilities : • Define and implement the enterprise Data & AI strategy and roadmap aligned with corporate and business-unit objectives. • Establish data architecture and governance ...

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Showing results 21-40

All JobsAi Implementation JobsAi Implementation Jobs in Altamonte Springs, FL

Ai Implementation information

See Altamonte Springs, FL salary details

$36.5K

$96.8K

$157K

How much do ai implementation jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai implementation in Altamonte Springs, FL is $96,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $113,100.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What job categories do people searching Ai Implementation jobs in Altamonte Springs, FL look for?

The top searched job categories for Ai Implementation jobs in Altamonte Springs, FL are:

What cities near Altamonte Springs, FL are hiring for Ai Implementation jobs?

Cities near Altamonte Springs, FL with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Altamonte Springs, FL as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $96,765 per year, or $46.5 per hour.

Lead Cloud AI Platforms Engineer

Signature Aviation

Orlando, FL • On-site

$95K - $126K/yr

Full-time

Re-posted 5 days ago

Signature Aviation rating

6.7

Company rating: 6.7 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

38th of 67 rated aviation services

Job description

At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Lead Cloud Engineer, AI Platforms to design, build, and operate the secure and scalable cloud infrastructure that powers next-generation AI and agentic systems across the enterprise.

In this role, you will lead the infrastructure architecture for AI platforms supporting multi-agent systems, large language models (LLMs), predictive analytics, and operational AI solutions. You will collaborate closely with AI engineers, data scientists, DevOps teams, and digital engineering teams to deliver reliable, scalable platforms that enable AI-driven capabilities across operations, commercial systems, and field environments.

Minimum Education and/or Experience:

  • 10+ years of experience in cloud engineering, platform engineering, or infrastructure architecture roles

  • Strong experience designing and operating containerized environments using Kubernetes and distributed systems architectures

  • Experience supporting infrastructure for AI, machine learning, or advanced data platforms

  • Experience supporting AI model deployment or inference platforms used in operational environments

  • Strong knowledge of cloud networking, security architecture, and reliability engineering practices

  • Bachelor's degree in Computer Science, Engineering, or a related technical field

Preferred Qualifications

  • Experience supporting LLM platforms, vector databases, and modern AI application architectures

  • Familiarity with frameworks and tools such as LangChain, LlamaIndex, or Semantic Kernel

  • Experience integrating with foundation models such as OpenAI GPT, Claude, LLaMA, or Gemini

  • Experience supporting predictive analytics and data science platforms in production environments

  • Familiarity with authentication and security frameworks such as OAuth2 and RBAC

  • Experience supporting multimodal AI systems, including vision, speech, or structured data processing

  • Experience designing infrastructure for edge computing or field-based AI deployments

  • Familiarity with aviation, logistics, mobility, or other operational technology environments

  • Experience working in regulated industries such as aviation, logistics, finance, or hospitality

  • Design and implement cloud infrastructure supporting LLM platforms, vector databases, and model inference pipelines

  • Build and operate scalable environments supporting agentic AI systems, predictive models, and enterprise AI applications

  • Support AI-driven operational use cases such as dynamic pricing, demand forecasting, and ramp capacity optimization

  • Implement and maintain MLOps pipelines supporting model training, deployment, monitoring, and lifecycle management

  • Develop Infrastructure-as-Code environments using tools such as Terraform to enable scalable and repeatable deployments

  • Optimize cloud performance, scalability, and reliability for AI and data workloads

  • Implement monitoring, logging, and observability platforms to ensure operational visibility and system performance

  • Collaborate with security and compliance teams to ensure data protection, platform security, and regulatory compliance

  • Enforce cloud governance, cost optimization, and operational resilience best practices

  • Design and support infrastructure for edge computing solutions that enable AI capabilities in field operations environments

  • Partner with engineering, data science, and platform teams to ensure seamless integration between AI infrastructure and enterprise systems

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