Strong expertise in AI/ML system design, MLOps, and cloud-native architectures * Experience with ... Contract to hire * Salary: Commensurate with experience.
Strong expertise in AI/ML system design, MLOps, and cloud-native architectures * Experience with ... Contract to hire * Salary: Commensurate with experience.
Strong expertise in AI/ML system design, MLOps, and cloud-native architectures * Experience with ... Contract to hire * Salary: Commensurate with experience. Apply Now Copyright 2026 Agility 360. All ...
Strong expertise in AI/ML system design, MLOps, and cloud-native architectures * Experience with ... Contract to hire * Salary: Commensurate with experience. Apply Now Copyright 2026 Agility 360. All ...
Mlops Contract information
What is an MLOps contract?
What are the key skills and qualifications needed to thrive as an MLOps contract professional, and why are they important?
What is the difference between Mlops Contract vs Data Engineer?
| Aspect | Mlops Contract | Data Engineer |
|---|---|---|
| Required Credentials | Certifications in cloud platforms, scripting, and ML tools | Degree in Computer Science or related field, SQL, Python skills |
| Work Environment | Project-based, contract roles in cloud and ML teams | Full-time or contract, data pipeline development in data teams |
| Employer & Industry Usage | Tech companies, startups, consulting firms | Large enterprises, finance, healthcare, tech |
| Search & Comparison Intent | Understanding contract roles in ML operations | Data pipeline and infrastructure roles |
While both roles involve working with data and cloud tools, Mlops Contract focuses on deploying and maintaining machine learning models in production environments on a contractual basis. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in skills like scripting and cloud familiarity but differ in scope and responsibilities.
What are some common challenges faced by MLOps contractors when integrating machine learning models into existing production systems?
Full-time, Contractor
Re-posted 22 days ago
Job description
Agility 360 seeking a Senior AI Architect for a client in Indianapolis, IN. This person will be responsible for shaping enterprise-wide AI architecture and driving scalable, ethical, and high-impact AI solutions. This role requires strong systems thinking, hands-on experience with AI/ML and GenAI technologies, and the ability to translate business needs into practical, production-ready solutions.
ESSENTIAL JOB FUNCTIONS
- Partner with business leaders, product managers, and stakeholders to understand workflows, constraints, and AI opportunities
- Assess AI use cases for feasibility, data readiness, architecture impact, and delivery risk
- Translate business requirements into scalable AI solution architectures and technical designs
- Design enterprise-grade AI solutions including data flows, integrations, security, and monitoring
- Develop architecture artifacts such as workflows, diagrams, and decision records
- Recommend AI approaches (ML, GenAI, RAG, agentic workflows, automation, hybrid models)
- Ensure solutions meet standards for scalability, reliability, compliance, and responsible AI
- Collaborate with architecture, security, data, and governance teams to align with enterprise standards
- Build prototypes, PoCs, and reference implementations to validate solutions and reduce risk
- Provide hands-on technical guidance, design reviews, and troubleshooting support
- Mentor engineers and cross-functional teams through coaching and knowledge sharing
- Establish reusable AI architecture standards, patterns, and best practices
- Define and promote responsible AI principles including transparency, privacy, and oversight
- Continuously evaluate emerging AI technologies and incorporate practical innovations
- Capture lessons learned and develop reusable playbooks and architecture guidance
EDUCATION / EXPERIENCE REQUIREMENTS
- Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's preferred
- 10+ years of software engineering or architecture experience with 5+ years in AI/ML solutions
- Strong expertise in AI/ML system design, MLOps, and cloud-native architectures
- Experience with LLMs, RAG architectures, vector databases, and modern AI frameworks
- Hands-on experience with platforms such as AWS SageMaker, Azure ML, Vertex AI, Databricks, or OpenAI APIs
- Proven ability to lead architecture decisions and collaborate across enterprise teams
- Knowledge of AI governance, responsible AI practices, and data privacy/security standards
- Strong communication, organizational, and problem-solving skills
- Experience with enterprise architecture frameworks (Zachman/TOGAF) preferred
- Cloud or architecture certifications (AWS, Azure) preferred
ADDITIONAL DETAILS
- Location: on-site in Indianapolis, IN
- Contract to hire
- Salary: Commensurate with experience.
About Agility 360
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
51 - 200 Employees
Headquarters location
Dallas, TX, US
Year founded
2014