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Remote Lead Technical Recruiter Jobs in Rochester, NY

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ...

New

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ...

New

The Chief Technical Officer (CTO) is a C-suite executive and a member of the senior leadership team ... Lead organizational planning including headcount, team structure, skills development, and ...

New

... and technical stakeholders. * Analyze agency missions, operational requirements, technology ... Lead responses to RFIs, RFPs, RFQs, Sources Sought notices, and other federal procurement ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Lead data discovery sessions with client stakeholders and present architecture recommendations to ...

Epic Denials Management Operator

Rochester, NY · Remote

$17.75 - $23.75/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Recruiting for this role ends on 01/01/2027. Work you'll do As an Epic Denials Management Operator ...

Showing results 21-40

Remote Lead Technical Recruiter information

See Rochester, NY salary details

$29.6K

$154.3K

$203.3K

How much do remote lead technical recruiter jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote lead technical recruiter in Rochester, NY is $154,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $202,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote lead technical recruiter, and why are they important?

To thrive as a Remote Lead Technical Recruiter, you need expertise in full-cycle technical recruiting, strong sourcing techniques, and a solid understanding of technology roles, often backed by a bachelor's degree in HR, business, or a related field. Familiarity with applicant tracking systems (ATS), sourcing platforms like LinkedIn Recruiter, and certifications such as AIRS or SHRM-CP are commonly required. Outstanding communication, relationship-building, and organizational skills set top performers apart, especially when managing remote teams and engaging passive candidates. These skills ensure efficient talent acquisition, foster positive candidate experiences, and support the hiring needs of fast-growing tech organizations.

How does a remote lead technical recruiter typically collaborate with hiring managers and technical teams to ensure successful placements?

As a Remote Lead Technical Recruiter, you’ll regularly coordinate with hiring managers and technical teams through virtual meetings, collaborative platforms, and detailed intake sessions to fully understand role requirements and team culture. You’ll act as a strategic partner, providing market insights, refining job descriptions, and establishing interview processes. Building strong relationships remotely requires proactive communication, regular status updates, and ensuring everyone is aligned on candidate profiles and timelines. This collaborative approach helps ensure that candidates not only have the right skills but also fit well with the technical team’s working style and project needs.

What does a remote lead technical recruiter do?

A Remote Lead Technical Recruiter is responsible for overseeing the recruitment process for technical positions, often managing a team of recruiters while working remotely. Their duties include sourcing candidates, conducting interviews, collaborating with hiring managers to understand job requirements, and ensuring a positive candidate experience. They also develop and implement recruitment strategies to attract top technical talent and may be involved in training and mentoring junior recruiters. This role requires strong communication, organizational, and leadership skills, as well as a deep understanding of the tech industry.

What is the difference between Remote Lead Technical Recruiter vs Remote Technical Recruiter?

AspectRemote Lead Technical RecruiterRemote Technical Recruiter
ResponsibilitiesOversees recruitment strategies, manages a team, and coordinates high-level hiring effortsExecutes recruitment tasks, sources candidates, and manages individual hiring processes
Required CredentialsExperience in leadership, recruiting certifications, and technical knowledgeRecruitment experience, certifications often preferred, technical understanding beneficial
Work EnvironmentLeads recruitment teams remotely, collaborates with hiring managersWorks independently or as part of a team, often remotely

The main difference is that the Remote Lead Technical Recruiter manages recruitment teams and strategies, while the Remote Technical Recruiter focuses on executing hiring processes. Both roles require relevant recruiting experience and technical knowledge, but the lead position involves leadership responsibilities and strategic planning.

What job categories do people searching Remote Lead Technical Recruiter jobs in Rochester, NY look for? The top searched job categories for Remote Lead Technical Recruiter jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Lead Technical Recruiter jobs? Cities near Rochester, NY with the most Remote Lead Technical Recruiter job openings:

AI Solutions Engineer

Innovative Solutions

Rochester, NY • Remote

$120K - $150K/yr

Full-time

Posted yesterday

New


Job description

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What this role is responsible for:

AI Assessment & Discovery

  • Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases
  • Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions
  • Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders
  • Translate discovery findings into technical specifications, architecture recommendations, and implementation plans
  • Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments

GenAI Solution Development

  • Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone)
  • Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations
  • Create conversational AI interfaces with natural language understanding, intent detection, and context management
  • Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications
 

Client Engagement & Delivery

  • Translate business requirements into technical specifications and suggested implementation plans
  • Provide technical guidance and recommendations to clients on AI/ML best practices
  • Document architecture decisions, code, and deployment suggestions

What makes someone successful in this role:

  • You have a proven track record delivering production AI applications from concept to deployment
  • You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification
  • You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences
  • You have excellent problem-solving skills and the ability to work independently with minimal supervision
  • You possess strong written and verbal communication skills for client-facing interactions
  • You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks

Requirements:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred)
  • Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred)
  • Contributions to open-source AI/ML projects or published technical content (preferred)
  • Experience with multi-tenant SaaS architectures and data isolation patterns (preferred)
  • Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred)
  • Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training

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.