diff --git a/airflow/models/taskinstance.py b/airflow/models/taskinstance.py
index 2a74bde0807c0..ca02969a79ed0 100644
--- a/airflow/models/taskinstance.py
+++ b/airflow/models/taskinstance.py
@@ -1693,6 +1693,11 @@ def handle_failure(
             # Log failure duration
             session.add(TaskFail(task, self.execution_date, self.start_date, self.end_date))
 
+        # Ensure we unset next_method and next_kwargs to ensure that any
+        # retries don't re-use them.
+        self.next_method = None
+        self.next_kwargs = None
+
         # Set state correctly and figure out how to log it and decide whether
         # to email
 
diff --git a/tests/models/test_taskinstance.py b/tests/models/test_taskinstance.py
index e22a44748e602..28afaa9918b3c 100644
--- a/tests/models/test_taskinstance.py
+++ b/tests/models/test_taskinstance.py
@@ -459,6 +459,36 @@ def task_function(ti):
         ti.refresh_from_db()
         assert ti.state == State.UP_FOR_RETRY
 
+    def test_task_retry_wipes_next_fields(self, session, dag_maker):
+        """
+        Test that ensures that tasks wipe their next_method and next_kwargs
+        fields when they are queued for retry after a failure.
+        """
+
+        with dag_maker('test_mark_failure_2'):
+            task = BashOperator(
+                task_id='test_retry_handling_op',
+                bash_command='exit 1',
+                retries=1,
+                retry_delay=datetime.timedelta(seconds=2),
+            )
+
+        dr = dag_maker.create_dagrun()
+        ti = dr.task_instances[0]
+        ti.next_method = "execute"
+        ti.next_kwargs = {}
+        session.merge(ti)
+        session.commit()
+
+        ti.task = task
+        with pytest.raises(AirflowException):
+            ti.run()
+        ti.refresh_from_db()
+
+        assert ti.next_method is None
+        assert ti.next_kwargs is None
+        assert ti.state == State.UP_FOR_RETRY
+
     def test_retry_delay(self, dag_maker):
         """
         Test that retry delays are respected