Senior Consultant - AI [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Consultant – AI based in the United States.

This role sits at the intersection of cloud engineering, data, and applied AI delivery, supporting enterprise clients as they modernize platforms and adopt intelligent, AI-driven solutions. You will contribute directly to the design and implementation of production-grade AI systems, working across architecture, development, and delivery execution. The environment is highly collaborative and hands-on, where technical depth and practical problem-solving are valued as much as creativity and adaptability. You will partner with architects, engineers, and client stakeholders to translate solution designs into scalable implementations using modern Azure and AI technologies. A key part of your impact will be ensuring quality, performance, and reliability across AI-enabled systems, from data pipelines to LLM-powered workflows. You will also contribute to reusable frameworks, delivery standards, and internal knowledge sharing that elevate overall team capability. This is a strong opportunity for an AI-focused consultant who enjoys building real-world solutions that drive measurable client outcomes.

Accountabilities:

• Support solution architecture and delivery for cloud and AI modernization programs, ensuring alignment with technical standards and business goals
• Translate high-level architecture designs into actionable implementation plans and delivery tasks
• Build and integrate AI solutions across application, cloud, and data platforms to deliver cohesive end-to-end systems
• Implement reusable engineering patterns, frameworks, and delivery standards to improve consistency and scalability
• Conduct technical design reviews, validation, and quality assurance across AI and cloud solutions
• Collaborate with cross-functional teams including architects, engineers, and client stakeholders to ensure successful delivery outcomes
• Develop and optimize AI workflows using agents, orchestration frameworks, and automation tools
• Implement retrieval-augmented generation and search solutions using vector databases and modern retrieval techniques
• Support evaluation, monitoring, and operationalization of LLM systems, including quality, safety, and performance tracking
• Apply responsible AI practices including security, privacy, compliance, and governance standards
• Participate in presales activities by contributing technical estimates, solution design input, and delivery planning
• Mentor junior consultants and engineers, supporting technical growth and delivery excellence
• Troubleshoot integration, performance, and scalability challenges across cloud and AI systems
• Contribute to internal knowledge sharing, communities of practice, and reusable intellectual property

Requirements:

• 2–5 years of experience in consulting or engineering roles focused on Azure, cloud, data, or AI solutions
• Hands-on experience contributing to AI solution delivery across design, build, and deployment phases
• Strong experience with Azure AI services, Azure OpenAI, Databricks, or similar modern cloud platforms
• Knowledge of agent frameworks and orchestration tools (e.g., Semantic Kernel, LangChain) for workflow automation
• Experience with retrieval systems and vector databases (e.g., Azure AI Search, Pinecone, FAISS, or Milvus)
• Familiarity with LLM evaluation, monitoring, and quality practices such as hallucination testing, telemetry, and feedback loops
• Understanding of responsible AI principles including privacy, security, governance, and risk management
• Solid cloud engineering fundamentals including APIs, microservices, containers, and DevOps pipelines
• Experience with data pipelines, integration, governance, and analytics tools such as Power BI
• Ability to work across multiple technical domains within Azure (App Innovation, Cloud, or Data & AI)
• Strong technical execution skills with attention to detail and delivery ownership
• Experience collaborating across multidisciplinary teams to deliver integrated solutions
• Strong communication skills with ability to explain technical concepts to both technical and non-technical stakeholders
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor) is a plus
• Exposure to hybrid or multi-cloud environments is a plus

Benefits:

• Remote-first work environment with flexible location within the United States
• Competitive base salary ranging from $109,800 to $164,700 USD
• Annual discretionary and utilization-based bonus eligibility
• 401(k) plan with employer matching contributions
• Multiple healthcare plan options including medical, dental, and vision coverage
• 100% employer-paid life and disability insurance
• Generous PTO package plus paid company holidays and floating personal days
• Paid parental leave for all parents
• Home office and technology stipend ($67/month)
• Flexible spending accounts (HSA, FSA, dependent care options)
• Employee assistance and wellness support programs
• Strong learning culture with opportunities for mentorship and professional growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.