Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Provide domain and technical expertise to guide the design, implementation, and optimization of AI-driven and platform-led client solutions. Advise cross-functional teams and stakeholders on architecture, best practices, risk mitigation, performance, and delivery, while contributing research, documentation, workshops, and pre-sales support.
Job details
Company Description Accion Labs is an AI-first, platform-led innovation engineering company headquartered in Pittsburgh, dedicated to helping organizations transform through next-generation technologies. With a global presence across 23 locations and a team of over 5,000 professionals, including more than 1,000 trained in AI and GenAI, the company supports clients in modernizing systems and accelerating enterprise transformation. Accion Labs delivers digital engineering, cloud and platform services, data and AI solutions, enterprise automation, and agentic AI solutions using proprietary IP and proven delivery models. The organization is recognized by leading analyst firms and business publications for its innovation, Generative AI services, and software product engineering capabilities. Applicants can expect to work in an environment that values entrepreneurial thinking, collaboration, and continuous learning. Role Description The Subject Matter Expert (SME) will provide deep domain and technical expertise to guide the design, implementation, and optimization of client solutions, with a focus on AI-driven and platform-led initiatives. In this contract, remote role, the SME will collaborate with cross-functional teams to translate complex business requirements into actionable technical approaches, review solution architectures, and validate key design decisions. Day-to-day responsibilities include conducting research and analysis, developing best practices and standards, preparing technical documentation, and delivering knowledge sessions or workshops for internal teams and clients. The SME will also support project delivery by advising on risk mitigation, performance optimization, and alignment with industry trends and regulatory requirements. This role involves regular stakeholder communication, providing thought leadership, and contributing to proposals and pre-sales activities when needed. Qualifications Strong expertise in AI, machine learning, and data platforms, including practical experience with GenAI implementations and modern data architectures. Hands-on experience with cloud and platform engineering (e.g., AWS, Azure, GCP), microservices, and scalable solution design. Background in digital product engineering, enterprise system automation, or intelligent knowledge systems in complex enterprise environments. Ability to conduct structured research, synthesize complex information, and develop clear technical guidelines, reference architectures, and best practices. Proficient in stakeholder communication, requirements analysis, and technical consulting, with the ability to influence decisions across multidisciplinary teams. Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Prior experience as a subject matter expert, solution architect, lead engineer, or consultant in AI, cloud, or enterprise technology domains. Comfort working in a remote, contract-based engagement model, with strong self-management, documentation, and collaboration skills.
What you’ll do
Provide domain and technical expertise to guide the design, implementation, and optimization of AI-driven and platform-led client solutions. Advise cross-functional teams and stakeholders on architecture, best practices, risk mitigation, performance, and delivery, while contributing research, documentation, workshops, and pre-sales support.
Requirements
Requires expertise in AI, machine learning, Generative AI, data platforms, cloud and platform engineering, microservices, and scalable enterprise solutions. Candidates should have relevant technical consulting or architecture experience, strong research, communication, documentation, and collaboration skills, and a bachelor’s or master’s degree in a related field or equivalent practical experience.
Listed skills
- Machine learning · Preferred
- Technical Documentation · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Artificial Intelligence
- Machine Learning
- Generative AI
- Data Platforms
- Cloud Engineering
- Platform Engineering
- Microservices
- Solution Architecture
- Digital Product Engineering
- Enterprise Automation
- Technical Consulting
- Requirements Analysis
- Stakeholder Communication
- Technical Documentation
- Risk Mitigation
- Performance Optimization
Job areas
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
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